Kavraki Lab

2017

  1. W. Baker, Z. Kingston, M. Moll, J. Badger, and L. Kavraki, “Robonaut 2 and You: Specifying and Executing Complex Operations,” in IEEE Workshop on Advanced Robotics and its Social Impacts (ARSO), Austin, TX, 2017. To appear.
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  2. D. Halperin, L. E. Kavraki, and K. Solovey, “Robotics,” in Handbook of Discrete and Computational Geometry, J. E. Goodman, J. O’Rourke, and C. D. Tóth, Eds. Boca Raton, NY: CRC Press, 2017.
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  3. A. Novinskaya, D. Devaurs, M. Moll, and L. E. Kavraki, “Defining Low-Dimensional Projections to Guide Protein Conformational Sampling,” Journal of Computational Biology, vol. 24, no. 1, pp. 79–89, Jan. 2017.
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2016

  1. J. Bohg, M. Ciocarlie, J. Civera, and L. E. Kavraki, “Big Data on Robotics,” Big Data, vol. 4, no. 4, pp. 195–196, Dec. 2016.
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  2. S. Butler, M. Moll, and L. E. Kavraki, “A General Algorithm for Time-Optimal Trajectory Generation Subject to Minimum and Maximum Constraints,” in Workshop on the Algorithmic Foundations of Robotics, 2016.
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  3. D. Devaurs, M. Papanastasiou, D. A. Antunes, J. R. Abella, M. Moll, D. Ricklin, J. D. Lambris, and L. E. Kavraki, “Native state of complement protein C3d analysed via hydrogen exchange and conformational sampling,” in International Conference on Intelligent Biology and Medicine (ICIBM), 2016.
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  4. J. D. Hernández, M. Moll, E. Vidal Garcia, M. Carreras, and L. E. Kavraki, “Planning Feasible and Safe Paths Online for Autonomous Underwater Vehicles in Unknown Environments,” in IEEE/RSJ Intl. Conf. on Intelligent Robots and Systems, 2016, pp. 1313–1320.
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  5. M. Moll, P. W. Finn, and L. E. Kavraki, “Structure-Guided Selection of Specificity Determining Positions in the Human Kinome,” BMC Genomics, 2016.
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  6. N. T. Dantam, Z. K. Kingston, S. Chaudhuri, and L. E. Kavraki, “Incremental Task and Motion Planning: A Constraint-Based Approach,” in Robotics: Science and Systems, 2016.
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  7. M. Lahijanian, M. R. Maly, D. Fried, L. E. Kavraki, H. Kress-Gazit, and M. Vardi, “Iterative Temporal Planning in Uncertain Environments with Partial Satisfaction Guarantees,” IEEE Transactions on Robotics, vol. 32, no. 3, pp. 583–599, 2016.
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  8. Y. Wang, N. T. Dantam, S. Chaudhuri, and L. E. Kavraki, “Task and Motion Policy Synthesis as Liveness Games,” in International Conference on Automated Planning and Scheduling, 2016, pp. 536–540.
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  9. N. T. Dantam, K. Bøndergaard, M. A. Johansson, T. Furuholm, and L. E. Kavraki, “Unix Philosophy and the Real World: Control Software for Humanoid Robots,” Frontiers in Robotics and Artificial Intelligence, vol. 3, Mar. 2016.
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  10. F. T. Pokorny, D. Kragic, L. E. Kavraki, and K. Goldberg, “High-Dimensional Winding-Augmented Motion Planning with 2D Topological Task Projections and Persistent Homology,” in Proc. IEEE Intl. Conf. on Robotics and Automation, 2016, pp. 24–31.
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  11. L. E. Kavraki and M. Moll, “Editorial: Special Issue on the 2014 ‘Robotics: Science & Systems’ Conference,” Intl. J. of Robotics Research, vol. 3–4, no. 1–3, 2016.
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  12. D. Devaurs, T. Siméon, and J. Cortés, “Optimal path planning in complex cost spaces with sampling-based algorithms,” IEEE Transactions on Automation Science and Engineering, vol. 13, no. 2, pp. 415–424, 2016.
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  13. L. E. Kavraki and S. M. LaValle, “Motion Planning,” in Handbook of Robotics, 2nd Edition, Springer, 2016.
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  14. S. M. Kim, M. I. Peña, M. Moll, G. Giannakopoulos, G. N. Bennett, and L. E. Kavraki, “An Evaluation of Different Clustering Methods and Distance Measures Used for Grouping Metabolic Pathways,” in Eighth International Conference on Bioinformatics and Computational Biology (BICoB), 2016.
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2015

  1. Z. Kingston, N. Dantam, and L. Kavraki, “Kinematically constrained workspace control via linear optimization,” in IEEE-RAS 15th International Conference on Humanoid Robots (Humanoids), 2015, pp. 758–764.
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  2. K. He, “Robot Manipulation Planning Under Linear Temporal Logic Specifications,” Master's thesis, Rice University, Houston, TX, 2015.
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  3. L. E. Kavraki and M. Likhachev, “Editorial: Special Issue on the 2014 ‘Robotics: Science & Systems’ Conference,” Autonomous Robots, vol. 39, no. 3, 2015.
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  4. P. K. Mandal, P. Morlacchi, J. M. Knight, T. M. Link, G. R. Lee, R. Nurieva, D. Singh, A. Dhanik, L. E. Kavraki, D. B. Corry, J. E. Ladbury, and J. S. McMurray, “Targeting the Src homology 2 (SH2) domain of signal transducer and activator of transcription 6 (STAT6) with cell-permeable, phosphatase-stable phosphopeptide mimics potently inhibits Tyr641 phosphorylation and transcriptional activity,” Journal of Medicinal Chemistry, 2015.
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  5. A. Novinskaya, D. Devaurs, M. Moll, and L. E. Kavraki, “Improving Protein Conformational Sampling by Using Guiding Projections,” in IEEE International Conference on Bioinformatics and Biomedicine Workshops (BIBMW), 2015, pp. 1272–1279.
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  6. D. A. Antunes, D. Devaurs, and L. E. Kavraki, “Understanding the Challenges of Protein Flexibility in Drug Design,” Expert Opinion on Drug Discovery, vol. 10, no. 12, pp. 1301–1313, 2015.
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  7. M. Moll, P. W. Finn, and L. E. Kavraki, “Structure-Guided Selection of Specificity Determining Positions in the Human Kinome,” in IEEE International Conference on Bioinformatics and Biomedicine (BIBM), 2015, pp. 21–28.
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  8. M. Moll, I. A. Şucan, and L. E. Kavraki, “Benchmarking Motion Planning Algorithms: An Extensible Infrastructure for Analysis and Visualization,” IEEE Robotics & Automation Magazine (Special Issue on Replicable and Measurable Robotics Research), vol. 22, no. 3, pp. 96–102, 2015.
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  9. D. Devaurs, K. Molloy, M. Vaisset, A. Shehu, T. Siméon, and J. Cortés, “Characterizing energy landscapes of peptides using a combination of stochastic algorithms,” IEEE Transactions on NanoBioscience, vol. 14, no. 5, pp. 545–552, 2015.
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  10. D. Coleman, I. A. Şucan, M. Moll, K. Okada, and N. Correll, “Experience-Based Planning with Sparse Roadmap Spanners,” in IEEE Intl. Conf. on Robotics and Automation, Seattle, WA, 2015, pp. 900–905.
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  11. D. K. Grady, M. Moll, and L. E. Kavraki, “Extending the Applicability of POMDP Solutions to Robotic Tasks,” IEEE Transactions on Robotics, vol. 31, no. 4, pp. 948–961, 2015.
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  12. C. Voss, M. Moll, and L. E. Kavraki, “A Heuristic Approach to Finding Diverse Short Paths,” in IEEE Intl. Conf. on Robotics and Automation, Seattle, WA, 2015, pp. 4173–4179.
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  13. M. Lahijanian, S. Almagor, D. Fried, L. E. Kavraki, and M. Y. Vardi, “This Time the Robot Settles for a Cost: A Quantitative Approach to Temporal Logic Planning with Partial Satisfaction,” in The Twenty-Ninth AAAI Conference (AAAI-15), Austin, TX, 2015, pp. 3664–3671.
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  14. K. He, M. Lahijanian, L. E. Kavraki, and M. Y. Vardi, “Towards Manipulation Planning with Temporal Logic Specifications,” in 2015 IEEE Intl. Conf. Robotics and Automation (ICRA), Seattle, WA, 2015, pp. 346–352.
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2014

  1. Z. Wang, Z. Wang, M. Moll, P.-S. Huang, D. K. Grady, N. Nasrabadi, T. Huang, L. E. Kavraki, and M. Hasegawa-Johnson, “Active Planning, Sensing and Recognition Using a Resource-Constrained Discriminant POMDP,” in IEEE/ISPRS Workshop on Multi-Sensor Fusion for Outdoor Dynamic Scene Understanding at CVPR, 2014.
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  2. R. Luna, M. Lahijanian, M. Moll, and L. E. Kavraki, “Asymptotically Optimal Stochastic Motion Planning with Temporal Goals,” in Workshop on the Algorithmic Foundations of Robotics, Istanbul, Turkey, 2014.
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  3. R. Luna, M. Lahijanian, M. Moll, and L. E. Kavraki, “Fast Stochastic Motion Planning with Optimality Guarantees using Local Policy Reconfiguration,” in IEEE International Conference on Robotics and Automation, Hong Kong, China, 2014, pp. 3013–3019.
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  4. R. Luna, M. Lahijanian, M. Moll, and L. E. Kavraki, “Optimal and Efficient Stochastic Motion Planning in Partially-Known Environments,” in The Twenty-Eighth AAAI Conference on Artificial Intelligence, Quebec City, Canada, 2014, pp. 2549–2555.
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  5. M. Lahijanian, L. E. Kavraki, and M. Y. Vardi, “A Sampling-Based Strategy Planner for Nondeterministic Hybrid Systems,” in International Conference on Robotics and Automation, Hong Kong, China, 2014, pp. 3005–3012.
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  6. D. K. Grady, “Motion Planning with Uncertain Information in Robotic Tasks,” PhD thesis, Rice University, Department of Computer Science, Houston, Texas, 2014.
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  7. S. Nedunuri, S. Prabhu, M. Moll, S. Chaudhuri, and L. E. Kavraki, “ SMT-Based Synthesis of Integrated Task and Motion Plans for Mobile Manipulation,” in IEEE Intl. Conf. on Robotics and Automation, 2014, pp. 655–662.
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2013

  1. R. Luna, I. A. Şucan, M. Moll, and L. E. Kavraki, “Anytime Solution Optimization for Sampling-Based Motion Planning,” in IEEE International Conference on Robotics and Automation, Karlsruhe, Germany, 2013, pp. 5053–5059.
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  2. D. K. Grady, M. Moll, and L. E. Kavraki, “Automated Model Approximation for Robotic Navigation with POMDPs,” in IEEE International Conference on Robotics and Automation, Karlsruhe, Germany, 2013, pp. 78–84.
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  3. D. H. Bryant, M. Moll, P. W. Finn, and L. E. Kavraki, “Combinatorial clustering of residue position subsets predicts inhibitor affinity across the human kinome,” PLoS Computational Biology, vol. 9, no. 6, p. e1003087, 2013.
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  4. D. K. Grady, M. Moll, and L. E. Kavraki, “Combining a POMDP Abstraction with Replanning to Solve Complex, Position-Dependent Sensing Tasks,” in AAAI Fall Symposium, Arlington, Virginia, 2013.
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  5. A. Dhanik, J. McMurray, and L. E. Kavraki, “DINC: A new AutoDock-based protocol for docking large ligands,” BMC Structural Biology, vol. 13, no. Suppl 1, p. S11, 2013.
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  6. E. Plaku, L. E. Kavraki, and M. Y. Vardi, “Falsification of LTL safety properties in hybrid systems,” International Journal on Software Tools for Technology Transfer (STTT), vol. 15, no. 4, pp. 305–320, 2013.
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  7. J. Chyan, M. Moll, and L. E. Kavraki, “Improving the Prediction of Kinase Binding Affinity Using Homology Models,” in Computational Structural Bioinformatics Workshop at the ACM Conf. on Bioinf., Comp. Bio. and Biomedical Informatics, Washington, DC, 2013.
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  8. M. R. Maly, M. Lahijanian, L. E. Kavraki, H. Kress-Gazit, and M. Y. Vardi, “Iterative Temporal Motion Planning for Hybrid Systems in Partially Unknown Environments,” in ACM International Conference on Hybrid Systems: Computation and Control (HSCC), Philadelphia, PA, USA, 2013, pp. 353–362.
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  9. B. Gipson, M. Moll, and L. E. Kavraki, “Resolution Independent Density Estimation for Motion Planning in High-Dimensional Spaces,” in IEEE International Conference on Robotics and Automation, 2013, pp. 2429–2435.
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  10. B. Gipson, M. Moll, and L. E. Kavraki, “SIMS: A hybrid method for rapid conformational analysis,” PLOS ONE, vol. 8, no. 7, p. e68826, 2013.
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  11. M. Moll, J. Bordeaux, and L. E. Kavraki, “Software for Project-Based Learning of Robot Motion Planning,” Computer Science Education, Special Issue on Robotics in CS Education, vol. 23, no. 4, pp. 332–348, 2013.
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2012

  1. I. A. Sucan and L. E. Kavraki, “Accounting for Uncertainty in Simultaneous Task and Motion Planning Using Task Motion Multigraphs,” in IEEE International Conference on Robotics and Automation, St. Paul, 2012, pp. 4822–4828.
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  2. A. Dhanik, J. S. McMurray, and L. E. Kavraki, “AUTODOCK-based Incremental Docking Protocol to Improve Docking of Large Ligands,” in IEEE International Conference on Bioinformatics and Biomedicine Workshops (BIBMW), Philadelphia, 2012, pp. 48–55.
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  3. A. Dhanik, J. S. McMurray, and L. E. Kavraki, “Binding Modes of Peptidomimetics Designed to Inhibit STAT3,” PLoS ONE, vol. 7(12), p. e51603, 2012.
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  4. B. Gipson, D. Hsu, L. E. Kavraki, and J.-C. Latombe, “Computational Models of Proteins Kinematics and Dynamics: Beyond Simulation,” Annual Reviews of Analytical Chemistry, vol. 5, pp. 273–291, 2012.
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  5. M. R. Maly and L. E. Kavraki, “Low-Dimensional Projections for SyCLoP,” in IEEE/RSJ International Conference on Intelligent Robots and Systems, Vilamoura, Algarve, Portugal, 2012, pp. 420–425.
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  6. A. Shehu and L. E. Kavraki, “Modeling Structures and Motions of Loops in Protein Molecules,” Entropy, vol. 14, pp. 252–290, 2012.
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  7. D. K. Grady, M. Moll, C. Hegde, A. C. Sankaranarayanan, R. G. Baraniuk, and L. E. Kavraki, “Multi-Objective Sensor-Based Replanning for a Car-Like Robot,” in IEEE International Symposium on Safety, Security, and Rescue Robotics, College Station, TX, 2012, pp. 1–6.
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  8. D. K. Grady, M. Moll, C. Hegde, A. C. Sankaranarayanan, R. G. Baraniuk, and L. E. Kavraki, “Multi-Robot Target Verification with Reachability Constraints,” in IEEE International Symposium on Safety, Security, and Rescue Robotics, College Station, TX, 2012, pp. 1–6.
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  9. I. A. Şucan, M. Moll, and L. E. Kavraki, “The Open Motion Planning Library,” IEEE Robotics & Automation Magazine, vol. 19, pp. 72–82, Dec. 2012. http://ompl.kavrakilab.org
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  10. A. Dhanik and L. E. Kavraki, “Protein-ligand interactions: computational docking,” eLS. John Wiley & Sons Ltd, 2012.
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  11. D. H. Bryant, “Redundancy-aware learning of protein structure-function relationships,” PhD thesis, Rice University, Department of Computer Science, Houston, Texas, 2012.
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  12. K. E. Bekris, D. K. Grady, M. Moll, and L. E. Kavraki, “Safe Distributed Motion Coordination for Second-Order Systems With Different Planning Cycles,” International Journal of Robotics Research, vol. 31, no. 2, pp. 129–150, 2012.
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  13. I. A. Sucan and L. E. Kavraki, “A Sampling-Based Tree Planner for Systems With Complex Dynamics,” IEEE Transactions on Robotics, vol. 28, no. 1, pp. 116–131, 2012.
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2011

  1. I. A. Sucan and L. E. Kavraki, “On the Advantages of Using Task Motion Multigraphs for Efficient Mobile Manipulation,” in IEEE/RSJ International Conference on Intelligent Robots and Systems, San Francisco, CA, 2011, pp. 4621–4626.
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  2. A. P. Heath, G. N. Bennett, and L. E. Kavraki, “An Algorithm for Efficient Identification of Branched Metabolic Pathways,” Journal of Computational Biology, vol. 18, no. 11, pp. 1575–1597, Nov. 2011.
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  3. D. K. Grady, K. E. Bekris, and L. E. Kavraki, “Asynchronous Distributed Motion Planning with Safety Guarantees under Second-Order Dynamics,” in Algorithmic Foundations of Robotics IX, vol. 68, Singapore, Singapore: Springer Berlin / Heidelberg, 2011, pp. 53–70. 10.1007/978-3-642-17452-0_4
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  4. A. P. Heath, G. N. Bennett, and L. E. Kavraki, “Identifying Branched Metabolic Pathways by Merging Linear Metabolic Pathways,” 15th Annual International Conference on Research in Computational Molecular Biology (RECOMB), vol. 6577/2011, pp. 70–84, 2011.
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  5. M. Moll, D. H. Bryant, and L. E. Kavraki, “The LabelHash Server and Tools for Substructure-Based Functional Annotation,” Bioinformatics, vol. 27, no. 15, pp. 2161–2162, 2011.
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  6. D. K. Grady, M. Moll, C. Hegde, A. C. Sankaranarayanan, R. G. Baraniuk, and L. E. Kavraki, “Look Before You Leap: Predictive Sensing and Opportunistic Navigation,” in Workshop on Progress and Open Problems in Motion Planning at the IEEE/RSJ Conf. on Intelligent Robots and Systems, San Francisco, 2011.
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  7. I. A. Sucan and L. E. Kavraki, “Mobile Manipulation: Encoding Motion Planning Options Using Task Motion Multigraphs,” in IEEE International Conference on Robotics and Automation, Shanghai, China, 2011, pp. 5492–5498.
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  8. A. Dhanik, J. S. McMurray, and L. E. Kavraki, “On modeling peptidomimetics in complex with the SH2 domain of Stat3,” in 33rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC ’11), Boston, Massachusetts, USA, 2011, pp. 3329–3332.
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  9. A. Bhatia, M. R. Maly, L. E. Kavraki, and M. Y. Vardi, “Motion Planning with Complex Goals,” Robotics Automation Magazine, IEEE, vol. 18, no. 3, pp. 55–64, Sep. 2011.
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  10. I. A. Şucan, “Task and Motion Planning for Mobile Manipulators,” PhD thesis, Rice University, Department of Computer Science, Houston, TX, 2011.
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  11. M. Moll, I. A. Sucan, J. Bordeaux, and L. E. Kavraki, “Teaching Motion Planning Concepts to Undergraduate Students,” in IEEE Workshop on Advanced Robotics and its Social Impacts, 2011.
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  12. D. K. Grady, “Unsynchronized Distributed Motion Planning with Safety Guarantees under Second-Order Dynamics,” Master's thesis, Rice University, Houston, TX, 2011.
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2010

  1. D. H. Bryant, M. Moll, B. Y. Chen, V. Y. Fofanov, and L. E. Kavraki, “Analysis of substructural variation in families of enzymatic proteins with applications to protein function prediction,” BMC Bioinformatics, vol. 11, no. 242, p. 242, 2010.
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  2. A. P. Heath, “Computational Discovery and Analysis of Metabolic Pathways,” PhD thesis, Rice University, Department of Computer Science, Houston, TX, 2010.
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  3. H. Stamati, C. Clementi, and L. E. Kavraki, “Application of nonlinear dimensionality reduction to characterize the conformational landscape of small peptides,” Proteins, vol. 78, no. 2, pp. 223–235, Jul. 2010.
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  4. A. P. Heath, G. N. Bennett, and L. E. Kavraki, “Finding Metabolic Pathways Using Atom Tracking,” Bioinformatics, vol. 26, no. 12, pp. 1548–1555, 2010.
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  5. I. A. Sucan and L. E. Kavraki, “On the Implementation of Single-Query Sampling-Based Motion Planners,” in IEEE International Conference on Robotics and Automation, Anchorage, Alaska, 2010, pp. 2005–2011.
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  6. M. Moll, D. H. Bryant, and L. E. Kavraki, “The LabelHash Algorithm for Substructure Matching,” BMC Bioinformatics, vol. 11, p. 555, 2010.
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  7. E. Plaku, L. E. Kavraki, and M. Y. Vardi, “Motion Planning with Dynamics by a Synergistic Combination of Layers of Planning,” IEEE Transactions on Robotics, vol. 26, no. 3, pp. 469–482 , 2010.
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  8. A. Bhatia, L. E. Kavraki, and M. Y. Vardi, “Motion Planning with Hybrid Dynamics and Temporal Goals,” in IEEE Conference on Decision and Control, Atlanta, GA, 2010, pp. 1108–1115.
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  9. A. Bhatia, L. E. Kavraki, and M. Y. Vardi, “Sampling-Based Motion Planning with Temporal Goals,” in IEEE International Conference on Robotics and Automation, Anchorage, Alaska, 2010, pp. 2689–2696.
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  10. M. Moll, J. Bordeaux, and L. E. Kavraki, “Teaching Robot Motion Planning,” Computers in Education (Special Issue on Novel Approaches to Robotics Education), vol. 20, no. 3, pp. 50–59, 2010.
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  11. N. Haspel, M. Moll, M. L. Baker, W. Chiu, and L. E. Kavraki, “Tracing conformational changes in proteins,” BMC Structural Biology, vol. 10, no. Suppl. 1, p. S1, 2010.
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2009

  1. A. P. Heath and L. E. Kavraki, “Computational Challenges in Systems Biology,” Computer Science Review, vol. 3, no. 1, pp. 1–17, 2009.
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  2. E. Plaku, L. E. Kavraki, and M. Y. Vardi, “Falsification of LTL Safety Properties in Hybrid Systems,” in Proc. of the Conf. on Tools and Algorithms for the Construction and Analysis of Systems (TACAS 2009), York, UK, 2009.
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  3. E. Plaku, L. E. Kavraki, and M. Y. Vardi, “Hybrid systems: from verification to falsification by combining motion planning and discrete search,” Formal Methods in System Design, vol. 34, pp. 157–182, 2009.
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  4. I. A. Sucan and L. E. Kavraki, “Kinodynamic Motion Planning by Interior-Exterior Cell Exploration,” in Algorithmic Foundation of Robotics VIII (Proceedings of Workshop on the Algorithmic Foundations of Robotics), Guanajuato, Mexico, 2009, vol. 57, pp. 449–464.
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  5. D. H. Bryant, “Mapping the Structural Landscape of Protein Families with Geometric Feature Vectors,” Master's thesis, Rice University, Department of Computer Science, Houston, TX, 2009.
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  6. A. Shehu, L. E. Kavraki, and C. Clementi, “Multiscale characterization of protein conformational ensembles,” Proteins, vol. 76, no. 4, pp. 837–851, 2009.
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  7. N. Haspel, B. Geisbrecht, J. D. Lambris, and L. E. Kavraki, “Multi-scale Characterization of the Energy Landscape of Proteins with Application to the C3d/Efb-C Complex,” Proteins: Structure, function and bioinformatics, vol. 78, no. 4, pp. 1004–1014, 2009.
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  8. I. A. Sucan and L. E. Kavraki, “On the Performance of Random Linear Projections for Sampling-Based Motion Planning,” in IEEE/RSJ International Conference on Intelligent Robots and Systems, St. Louis, 2009, pp. 2434–2439.
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  9. R. B. Rusu, I. A. Sucan, B. P. Gerkey, S. Chitta, M. Beetz, and L. E. Kavraki, “Real-Time Perception-Guided Motion Planning for a Personal Robot,” in IEEE/RSJ International Conference on Intelligent Robots and Systems, St. Louis, 2009, pp. 4245–4252.
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  10. K. E. Bekris, K. I. Tsianos, and L. E. Kavraki, “Safe and Distributed Kinodynamic Replanning for Vehicular networks,” ACM/Springer Mobile Networks and Applications (MONET), vol. 14, no. 3, pp. 292–308, 2009.
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  11. N. Haspel, M. Moll, M. L. Baker, W. Chiu, and L. E. Kavraki, “Tracing Conformational Changes in Proteins,” in IEEE Intl. Conf. on Bioinformatics and Biomedicine Workshops (BIBMW), Washington, DC, 2009.
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2008

  1. A. P. Heath, G. Balázsi, and L. E. Kavraki, “Bipolarity of the saccharomyces cerevisiae genome,” International Conference on Bioinformatics and Biomedical Engineering (iCBBE), pp. 330–333, 2008.
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  2. E. Plaku, L. E. Kavraki, and M. Y. Vardi, “Discrete Search Leading Continuous Exploration for Kinodynamic Motion Planning,” in Robotics: Science and Systems, Atlanta, Georgia, 2008, pp. 326–333.
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  3. N. Haspel, D. Ricklin, B. Geisbrecht, J. D. Lambris, and L. E. Kavraki, “Electrostatic Contributions Drive the Interaction Between Staphylococcus aureus Protein Efb-C and its Complement Target C3d.,” Protein Science, vol. 17(11), pp. 1894–1906, 2008.
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  4. E. Plaku, “From High-Level Tasks to Low-Level Motions: Motion Planning for High-Dimensional Nonlinear Hybrid Robotic Systems,” PhD thesis, Rice University, Houston, TX, 2008.
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  5. E. Plaku, L. E. Kavraki, and M. Y. Vardi, “Impact of Workspace Decompositions on Discrete Search Leading Continuous Exploration (DSLX) Motion Planning,” in IEEE International Conference on Robotics and Automation, Pasadena, CA, 2008, pp. 3751–3756.
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  6. K. E. Bekris, “Informed Planning and Safe Distributed Replanning under Physical Constraints,” PhD thesis, Rice University, Houston, TX, 2008.
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  7. I. A. Şucan, “Kinodynamic Motion Planning for High-dimensional Physical Systems,” Master's thesis, Rice University, Houston, TX, 2008.
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  8. I. A. Sucan, J. F. Kruse, M. Yim, and L. E. Kavraki, “Kinodynamic Motion Planning with Hardware Demonstrations,” in IEEE/RSJ International Conference on Intelligent Robots and Systems, Nice, France, 2008, pp. 1661–1666.
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  9. M. Moll and L. E. Kavraki, “LabelHash: A Flexible and Extensible Method for Matching Structural Motifs,” in Automated Function Prediction / BioSapiens meeting (AFP-BioSapiens), 2008. Available from Nature Precedings.
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  10. M. Moll and L. E. Kavraki, “Matching of Structural Motifs Using Hashing on Residue Labels and Geometric Filtering for Protein Function Prediction,” in The Seventh Annual International Conference on Computational Systems Bioinformatics (CSB2008), 2008, pp. 157–168.
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  11. A. Shehu, “Molecules in Motion: Computing Structural Flexibility,” PhD thesis, Rice University, Houston, TX, 2008.
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  12. D. Ricklin, S. K. Ricklin-Lichtsteiner, G. Sfyroera, H. Chen, A. Tzekou, P. Magotti, Y.-Q. Wu, B. L. Garcia, W. J. McWorther, N. Haspel, L. E. Kavraki, B. Geisbrecht, and J. D. Lambris, “Novel insights into target specificities and molecular mechanisms for two potent complement evasion proteins from Staphylococcus aureus.,” in XXII International Complement Workshop, Basel, Switzerland, 2008.
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  13. D. M. Kristensen, M. R. Ward, A. M. Lisewski, S. Edrin, B. Y. Chen, V. Y. Fofanov, M. Kimmel, L. E. Kavraki, and O. Lichtarge, “Prediction of enzyme function based on 3D templates of evolutionarily important amino acids,” BMC Bioinformatics, vol. 9, 2008.
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  14. I. A. Sucan, J. F. Kruse, M. Yim, and L. E. Kavraki, “Reconfiguration for modular robots using kinodynamic motion planning,” in ASME – Dynamic Systems and Control, Ann Arbor, Michigan, USA, 2008.
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  15. K. I. Tsianos and L. E. Kavraki, “Replanning: A powerful planning strategy for hard kinodynamic problems,” in IEEE/RSJ International Conference on Intelligent Robots and Systems, Nice, France, 2008, pp. 1667–1672.
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  16. K. I. Tsianos, “Replanning: A Powerful Planning Strategy for Systems with Differential Constraints,” Master's thesis, Rice University, Houston, TX, 2008.
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  17. K. I. Tsianos, D. Halperin, L. E. Kavraki, and J.-C. Latombe, “Robot Algorithms,” in Algorithms and Theory of Computation Handbook, Second., vol. 2, Boca Raton, FL: CRC Press, 2008.
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  18. M. Moll and D. Rus, “Special Issue on Self-Reconfiguring Modular Robots (Guest Editorial),” Intl. J. of Robotics Research, vol. 27, pp. 277–278, 2008.
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  19. V. Y. Fofanov, B. Y. Chen, D. H. Bryant, M. Moll, O. Lichtarge, L. E. Kavraki, and M. Kimmel, “A Statistical Model to Correct Systematic Bias Introduced by Algorithmic Thresholds in Protein Structural Comparison Algorithms,” in IEEE Intl. Conf. on Bioinformatics and Biomedicine (BIBM), Philadelphia, PA, 2008.
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  20. A. Shehu, L. E. Kavraki, and C. Clementi, “Unfolding the Fold of Cyclic Cysteine-rich Peptides,” Protein Science, vol. 17, pp. 482–493, 2008.
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  21. B. Y. Chen, “Geometry-based methods for protein function prediction,” PhD thesis, Rice University, Department of Computer Science, Houston, Texas, 2008.
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2007

  1. H. Stamati, “Analysis of Molecular Motion using Non-Linear Dimensionality Reduction,” Master's thesis, Rice University, Houston, TX, 2007.
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  2. B. Y. Chen, D. H. Bryant, V. Y. Fofanov, D. M. Kristensen, A. E. Cruess, M. Kimmel, O. Lichtarge, and L. E. Kavraki, “Cavity Scaling: Automated Refinement of Cavity-Aware Motifs in Protein Function Prediction,” Journal of Bioinformatics and Computational Biology, vol. 5, no. 2a, pp. 353–382, 2007.
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  3. A. Shehu, L. E. Kavraki, and C. Clementi, “On the Characterization of Protein Native State Ensembles,” Biophysical Journal, vol. 92, no. 5, pp. 1503–1511, 2007.
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  4. B. Y. Chen, D. H. Bryant, A. E. Cruess, J. H. Bylund, V. Y. Fofanov, M. Kimmel, O. Lichtarge, and L. E. Kavraki, “Composite Motifs Integrating Multiple Protein Structures Increase Sensitivity for Function Prediction,” in Computational Systems Bioinformatics Conference (CSB2007), 2007, pp. 343–355.
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  5. K. E. Bekris, K. I. Tsianos, and L. E. Kavraki, “A Decentralized Planner that Guarantees the Safety of Communicating Vehicles with Complex Dynamics that Replan Online,” in IEEE/RSJ Intl. Conf. on Intelligent Robots and Systems, San Diego, CA, 2007.
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  6. E. Plaku and L. E. Kavraki, “Distributed Computation of the KNN Graph for Large High-Dimensional Point Sets,” Journal of Parallel and Distributed Computing, vol. 67, no. 3, pp. 346–359, 2007.
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  7. K. E. Bekris, K. I. Tsianos, and L. E. Kavraki, “A Distributed Protocol for Safe Real-Time Planning of Communicating Vehicles with Second-Order Dynamics,” in First International Conference on Robot Communication and Coordination (ROBOCOMM 07), Athens, Greece, 2007.
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  8. E. Plaku, H. Stamati, C. Clementi, and L. E. Kavraki, “Fast and Reliable Analysis of Molecular Motion Using Proximity Relations and Dimensionality Reduction,” Proteins: Structure, Function, and Bioinformatics, vol. 67, no. 4, pp. 897–907, 2007.
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  9. A. P. Heath, L. E. Kavraki, and C. Clementi, “From coarse-grain to all-atom: Toward multiscale analysis of protein landscapes,” Proteins: Structure, Function and Bioinformatics, vol. 68, no. 3, pp. 646–661, Aug. 2007.
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  10. K. E. Bekris and L. E. Kavraki, “Greedy but Safe Replanning under Kinodynamic Constraints,” in Intl. Conf. on Robotics and Automation, Rome, Italy, 2007, pp. 704–710.
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  11. E. Plaku, L. E. Kavraki, and M. Y. Vardi, “Hybrid Systems: From Verification to Falsification,” in International Conference on Computer Aided Verification (CAV), vol. 4590, Berlin, Germany: Lecture Notes in Computer Science, Springer-Verlag Heidelberg, 2007, pp. 468–481.
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  12. B. Y. Chen, V. Y. Fofanov, D. H. Bryant, B. D. Dodson, D. M. Kristensen, A. M. Lisewski, M. Kimmel, O. Lichtarge, and L. E. Kavraki, “The MASH Pipeline for Protein Function Prediction and an Algorithm for the Geometric Refinement of 3D Motifs,” Journal of Computational Biology, vol. 14, no. 6, pp. 791–816, 2007.
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  13. M. Yim, W.-M. Shen, B. Salemi, D. Rus, M. Moll, H. Lipson, and E. Klavins, “Modular Self-reconfigurable Robot Systems: Challenges and Opportunities for the Future,” IEEE Robotics & Automation Magazine, vol. 14, no. 1, Mar. 2007.
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  14. E. Plaku, L. E. Kavraki, and M. Y. Vardi, “A Motion Planner for a Hybrid Robotic System with Kinodynamic Constraints,” in IEEE International Conference on Robotics and Automation (ICRA), Rome, Italy, 2007, pp. 692–697.
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  15. E. Plaku and L. E. Kavraki, “Nonlinear Dimensionality Reduction Using Approximate Nearest Neighbors,” in SIAM International Conference on Data Mining (SDM), Minneapolis, Minnesota, 2007, pp. 3711–3716.
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  16. E. Plaku, K. E. Bekris, and L. E. Kavraki, “OOPS for Motion Planning: An Online Open-source Programming System,” in IEEE International Conference on Robotics and Automation (ICRA), Rome, Italy, 2007, pp. 3711–3716.
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  17. D. Schwarz and L. E. Kavraki, “Protein-Ligand Interactions: Computational Docking,” in Encyclopedia of Life Sciences, Wiley, 2007, pp. Article #A4105.
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  18. M. Moll, D. Schwarz, and L. E. Kavraki, “Roadmap Methods for Protein Folding,” in Protein Structure Prediction: Methods and Protocols, Humana Press, 2007.
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  19. A. Shehu, C. Clementi, and L. E. Kavraki, “Sampling Conformation Space to Model Equilibrium Fluctuations in Proteins,” Algorithmica, vol. 48, pp. 303–327, 2007.
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  20. K. I. Tsianos, I. A. Sucan, and L. E. Kavraki, “Sampling-based robot motion planning: Towards realistic applications,” Computer Science Review, vol. 1, pp. 2–11, Aug. 2007.
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2006

  1. B. Y. Chen, D. H. Bryant, V. Y. Fofanov, D. M. Kristensen, A. E. Cruess, M. Kimmel, O. Lichtarge, and L. E. Kavraki, “Cavity-Aware Motifs Reduce False Positives in Protein Function Prediction,” in Systems Bioinformatics Conference (CSB), Stanford, CA, 2006, vol. 4, pp. 311–323.
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  2. M. Moll, P. Will, M. Krivokon, and W.-M. Shen, “Distributed Control of the Center of Mass of a Modular Robot,” in Proc. 2006 IEEE/RSJ Intl. Conf. on Intelligent Robots and Systems, Beijing, China, 2006, pp. 4710–4715.
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  3. K. E. Bekris, M. Glick, and L. E. Kavraki, “Evaluation of Algorithms for Bearing-Only SLAM,” in Proceedings of The IEEE International Conference on Robotics and Automation (ICRA), Orlando, FL, 2006, pp. 1937–1944.
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  4. K. E. Bekris, A. A. Argyros, and L. E. Kavraki, “Exploiting Panoramic Vision for Angle-Based Robot Navigation,” in Lecture Notes in Computer Science, Vol. 33, Springer, 2006, pp. 229–251.
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  5. B. Y. Chen, V. Y. Fofanov, D. H. Bryant, B. D. Dodson, D. M. Kristensen, A. M. Lisewski, M. Kimmel, O. Lichtarge, and L. E. Kavraki, “Geometric Sieving: Automated Distributed Optimization of 3D Motifs for Protein Function Prediction,” in Research in Computational Biology: 10th Annual International Conference (RECOMB), Venice, Italy, 2006. Published in Lecture Notes in Computer Science, A. Apostolico, C. Guerra, S. Istrail, P. Pevzner, M. Waterman (Eds), Springer, 3909/2006, 500-515
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  6. P. Das, M. Moll, H. Stamati, L. E. Kavraki, and C. Clementi, “Low-dimensional Free-energy Landscapes of Protein-Folding Reactions by Nonlinear Dimensionality Reduction,” Proceedings of the National Academy of Sciences, vol. 103, no. 26, pp. 9885–9890, Jun. 2006.
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  7. A. Shehu, C. Clementi, and L. E. Kavraki, “Modeling Protein Conformational Ensembles: From Missing Loops to Equilibrium Fluctuations,” Proteins: Structure, Function and Bioinformatics, vol. 65, no. 1, pp. 164–179, 2006.
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  8. A. M. Ladd, “Motion Planning for Physical Simulation,” PhD thesis, Rice University, Houston, TX, 2006.
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  9. M. Moll and L. E. Kavraki, “Path Planning for Deformable Linear Objects,” IEEE Transactions on Robotics, vol. 22, no. 4, pp. 625–636, Aug. 2006.
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  10. E. Plaku and L. E. Kavraki, “Quantitative Analysis of Nearest Neighbors Search in High-Dimensional Sampling-based Motion Planning,” in Workshop on Algorithmic Foundations of Robotics (WAFR), New York, NY, 2006.
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  11. D. M. Kristensen, B. Y. Chen, V. Y. Fofanov, M. R. Ward, A. M. Lisewski, M. Kimmel, L. E. Kavraki, and O. Lichtarge, “Recurrent Use of Evolutionary Importance for Functional Annotation of Proteins Based on Local Structural Similarity,” Protein Science, vol. 15, no. 6, pp. 1530–1536, 2006.
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  12. B. Salemi, M. Moll, and W.-M. Shen, “SUPERBOT: A Deployable, Multi-Functional, and Modular Self-Reconfigurable Robotic System,” in Proc. 2006 IEEE/RSJ Intl. Conf. on Intelligent Robots and Systems, Beijing, China, 2006, pp. 3636–3641.
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2005

  1. B. Y. Chen, V. Y. Fofanov, D. M. Kristensen, M. Kimmel, O. Lichtarge, and L. E. Kavraki, “Algorithms for Structural Comparison and Statistical Analysis of 3D Protein Motifs,” in Pacific Symposium on Biocomputing, Hawaii, USA, 2005.
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  2. E. Plaku and L. E. Kavraki, “Distributed Sampling-Based Roadmap of Trees for Large-Scale Motion Planning,” in IEEE International Conference on Robotics and Automation, Barcelona, Spain, 2005, pp. 3879–3884.
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  3. A. M. Ladd and L. E. Kavraki, “Fast Tree-Based Exploration of State Space for Robots with Dynamics,” in Algorithmic Foundations of Robotics VI, Springer, STAR 17, 2005, pp. 297–312.
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  4. M. Zhang, R. A. White, L. Wang, R. Goldman, L. E. Kavraki, and B. Hassett, “Improving Conformational Searches by Geometric Screening,” Bioinformatics, vol. 21, no. 5, pp. 624–630, 2005.
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  5. A. M. Ladd and L. E. Kavraki, “Motion Planning in the Presence of Drift, Underactuation and Discrete System Changes,” in Robotics: Science and Systems I, Boston, MA, 2005, pp. 233–241.
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  6. M. Moll and L. E. Kavraki, “Path Planning for Variable Resolution Minimal-Energy Curves of Constant Length,” in Proc. 2005 IEEE Intl. Conf. on Robotics and Automation, Barcelona, Spain, 2005, pp. 2143–2147.
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  7. H. Choset, W. Burgard, S. Hutchinson, G. Kantor, L. E. Kavraki, K. Lynch, and S. Thrun, Principles of Robot Motion: Theory, Algorithms, and Implementation. MIT Press, 2005.
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  8. M. Akinc, K. E. Bekris, B. Y. Chen, A. M. Ladd, E. Plaku, and L. E. Kavraki, “Probabilistic Roadmaps of Trees for Parallel Computation of Multiple Query Roadmaps,” in Robotic Research: The Eleventh International Symposium, Springer, STAR 15, 2005, pp. 80–89.
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  9. A. A. Argyros, K. E. Bekris, S. C. Orphanoudakis, and L. E. Kavraki, “Robot Homing by Exploiting Panoramic Vision,” Autonomous Robots, vol. 19, no. 1, pp. 7–25, 2005.
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  10. A. M. Ladd, K. E. Bekris, A. Rudys, G. Marceau, L. E. Kavraki, and D. S. Wallach, “Robotics-Based Location Sensing using Wireless Ethernet (Invited),” Wireless Networks (The Journal of Mobile Communication, Computation and Information), vol. 11, no. 1-2, pp. 189–204, Jan. 2005.
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  11. E. Plaku, K. E. Bekris, B. Y. Chen, A. M. Ladd, and L. E. Kavraki, “Sampling-Based Roadmap of Trees for Parallel Motion Planning,” IEEE Transactions on Robotics, vol. 21, no. 4, pp. 597–608, 2005.
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2004

  1. K. E. Bekris, A. A. Argyros, and L. E. Kavraki, “Angle-Based Methods for Mobile Robot Navigation: Reaching the Entire Plane,” in Proceedings of The IEEE International Conference on Robotics and Automation (ICRA), New Orleans, LA, 2004, pp. 2373–2378.
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  2. A. M. Ladd, K. E. Bekris, A. Rudys, L. E. Kavraki, and D. S. Wallach, “On the Feasibility of Using Wireless Ethernet for Indoor Localization,” IEEE Transactions on Robotics and Automation, vol. 20, no. 3, pp. 555–559, Jun. 2004.
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  3. M. Moll, D. Schwarz, A. P. Heath, and L. E. Kavraki, “On Flexible Docking Using Expansive Search,” no. 04-443, 2004.
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  4. J. M. Phillips, N. Bedrosian, and L. E. Kavraki, “Guided Expansive Spaces Trees: A Search Strategy for Motion- and Cost-Constrained State Spaces,” in Proceedings of The IEEE International Conference on Robotics and Automation (ICRA), New Orleans, LA, 2004, pp. 3968–3973.
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  5. A. M. Ladd and L. E. Kavraki, “Measure Theoretic Analysis of Probabilistic Path Planning,” IEEE Transactions on Robotics and Automation, vol. 20, no. 2, pp. 229–242, Apr. 2004.
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  6. A. M. Ladd and L. E. Kavraki, “Motion Planning for Knot Untangling,” in Algorithmic Foundations of Robotics V, Springer Tracks in Advanced Robotics, Springer Verlag, STAR 7, 2004, pp. 7–23.
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  7. M. Moll and L. E. Kavraki, “Path Planning for Minimal Energy Curves of Constant Length,” in Proceedings of The IEEE International Conference on, New Orleans, LA, 2004, pp. 2826–2831.
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  8. A. Haeberlen, E. Flannery, A. M. Ladd, A. Rudys, D. S. Wallach, and L. E. Kavraki, “Practical Robust Localization over Large-Scale 802.11 Wireless Networks,” in Proceedings of the Tenth ACM International Conference on Mobile Computing and Networking (MOBICOM 2004), Philadelphia, PA, 2004, pp. 70–84.
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  9. D. Halperin, L. E. Kavraki, and J.-C. Latombe, “Robotics,” in Handbook of Discrete and Computational Geometry, Boca Raton, NY: CRC Press, 2004, pp. 1065–1094.
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  10. A. M. Ladd and L. E. Kavraki, “Using Motion Planning for Knot Untangling,” International Journal of Robotics Research, vol. 23, no. 7-8, pp. 797–808, 2004.
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2003

  1. H. Yao, D. M. Kristensen, I. Mihalek, M. Sowa, C. Shaw, M. Kimmel, L. E. Kavraki, and O. Lichtarge, “An Accurate, Sensitive, and Scalable Method to Identify Functional Sites in Protein Structures,” Journal of Molecular Biology, vol. 326, no. 1, pp. 255–261, 2003.
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  2. M. L. Teodoro and L. E. Kavraki, “Conformational Flexibility Models for the Receptor in Structure Based Drug Design,” Current Pharmaceutical Design, vol. 9, pp. 1419–1431, 2003.
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  3. M. L. Teodoro, “Modeling Protein Flexibility Using Collective Modes of Motion: Applications to Drug Design,” PhD thesis, Rice University, Houston, TX, 2003.
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  4. K. E. Bekris, B. Y. Chen, A. M. Ladd, E. Plaku, and L. E. Kavraki, “Multiple Query Probabilistic Roadmap Planning Using Single Query Planning Primitives,” in 2003 IEEE/RJS International Conference on Intelligent Robots and Systems (IROS), Las Vegas, NV, 2003, pp. 656–661.
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  5. J. M. Phillips, L. E. Kavraki, and N. Bedrosian, “Probabilistic Optimization Applied to Spacecraft Rendezvous and Docking,” in 13th American Astronomical Society/AIAA - Space Flight Mechanics Meeting, Puerto Rico, 2003.
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  6. M. Moll and M. A. Erdmann, “Reconstructing the Shape and Motion of Unknown Objects,” in Algorithmic Foundations of Robotics V, Springer, 2003, pp. 293–310.
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  7. J. M. Phillips, L. E. Kavraki, and N. Bedrosian, “Spacecraft Rendezvous and Docking With Real-Time Randomized Optimization,” in AIAA (American Institute of Aeronautics and Astronautics) Guidance, Navigation and Control Conference, Austin, TX, 2003.
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  8. M. L. Teodoro, G. N. P. Jr., and L. E. Kavraki, “Understanding Protein Flexibility through Dimensionality Reduction,” The Journal of Computational Biology, vol. 10, no. 3-4, pp. 617–634, 2003.
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2002

  1. P. K. Agrawal, L. J. Guibas, H. Edelsbrunner, J. Erickson, M. Isard, S. Har-Peled, J. Hershberger, C. Jensen, L. E. Kavraki, P. Koehl, M. Lin, D. Manocha, D. Metaxas, B. Mirtich, D. Mount, and S. Muthukrishnan, “Algorithmic Issues in Modeling Motion,” ACM Computing Surveys, vol. 34, no. 4, pp. 550–572, 2002.
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  2. M. Moll, K. Y. Goldberg, M. A. Erdmann, and R. S. Fearing, “Aligning Parts for Micro Assemblies,” Assembly Automation, vol. 22, no. 1, pp. 46–54, Feb. 2002.
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  3. M. Zhang and L. E. Kavraki, “Approximating Solutions of Molecular Inverse Kinematics Problems by Subdivision,” in The 24th International Conference of the IEEE Engineering in Medicine and Biology Society (EMBS) and the Annual Meeting of the Biomedical Engineering Society (BMES), 2002, pp. 2182–2183.
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  4. M. L. Teodoro, G. N. P. Jr., and L. E. Kavraki, “A Dimensionality Reduction Approach to Modeling Protein Flexibility,” in Proceedings of the 2002 ACM International Conference on Research in Computational Biology (RECOMB 2002), 2002, pp. 299–308.
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  5. M. Moll and M. A. Erdmann, “Dynamic Shape Reconstruction Using Tactile Sensors,” in Proc. 2002 IEEE Intl. Conf. on Robotics and Automation, 2002, pp. 1636–1641.
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  6. A. M. Ladd and L. E. Kavraki, “Generalizing the Analysis of PRM,” in Proceedings of the 2002 IEEE International Conference on Robotics and Automation (ICRA 2002), Washington, DC, 2002, pp. 2120–2125.
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  7. M. Moll and M. A. Erdmann, “Manipulation of Pose Distributions,” Intl. J. of Robotics Research, vol. 21, no. 3, pp. 277–292, Mar. 2002.
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  8. M. Zhang and L. E. Kavraki, “A New Method for Fast and Accurate Derivation of Molecular Conformations,” Journal of Chemical Information and Computer Sciences, vol. 42, no. 1, pp. 64–70, 2002.
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  9. M. Moll, K. Y. Goldberg, M. A. Erdmann, and R. S. Fearing, “Orienting Micro-Scale Parts with Squeeze and Roll Primitives,” in Proc. 2002 IEEE Intl. Conf. on Robotics and Automation, 2002, pp. 1931–1936.
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  10. M. L. Teodoro and L. E. Kavraki, “Pharmacology,” in Handbook of Data Mining and Knowledge Discovery, Oxford University Press, 2002, pp. 808–816.
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  11. A. M. Ladd, K. E. Bekris, A. Rudys, G. Marceau, L. E. Kavraki, and D. S. Wallach, “Robotics-Based Location Sensing using Wireless Ethernet,” in Proceedings of the Eight ACM International Conference on Mobile Computing and Networking (MOBICOM 2002), Atlanta, GE, 2002, pp. 227–238.
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  12. M. Moll, “Shape Reconstruction Using Active Tactile Sensors,” PhD thesis, Computer Science Department, Carnegie Mellon University, Pittsburgh, PA, 2002.
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  13. J. M. Phillips, A. M. Ladd, and L. E. Kavraki, “Simulated Knot Tying,” in Proceedings of The 2002 IEEE International Conference on Robotics and Automation (ICRA 2002), Washington, DC, 2002, pp. 841–846.
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  14. M. Zhang and L. E. Kavraki, “Solving Molecular Inverse Kinematics Problems for Protein Folding and Drug Design,” in Currents in Computational Molecular Biology, 2002, pp. 214–215. Book includes short papers from The Sixth ACM International Conference on Research in Computational Biology (RECOMB 2002), Washington, DC, 2002
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  15. A. M. Ladd, K. E. Bekris, G. Marceau, A. Rudys, L. E. Kavraki, and D. S. Wallach, “Using Wireless Ethernet for Localization,” in Proceedings of the 2002 IEEE/RJS International Conference on Intelligent Robots and Systems (IROS 2002), Lausanne, Switzerland, 2002, vol. 1, pp. 402–408.
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2001

  1. O. Brock and L. E. Kavraki, “Decomposition-Based Motion Planning: A Framework for Real-Time Motion Planning in High-Dimensional Configuration Places,” in Proceedings of The 2001 IEEE International Conference on Robotics and Automation (ICRA), 2001, pp. 1469–1475.
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  2. M. Zhang and L. E. Kavraki, “Efficiently Maintaining Molecular Conformations Using Local Frames,” in Currents in Computational Molecular Biology, Montreal, Canada, 2001, pp. 97–98. Book includes short papers from The Fifth ACM International Conference on Research in Computational Biology (RECOMB), Montreal, Canada, 2001
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  3. A. Sudsang and L. E. Kavraki, “A Geometric Approach to Designing a Programmable Force Field with a Unique Stable Equilibrium for Parts in the Plane,” in Proceedings of The 2001 IEEE International Conference on Robotics and Automation (ICRA 2001), Seoul, Korea, 2001, vol. 2, pp. 1079–1085. This paper was a finalist for best conference paper award
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  4. M. Moll and M. A. Erdmann, “Manipulation of Pose Distributions,” in Algorithmic and Computational Robotics: New Directions, A. K. Peters, 2001, pp. 127–141.
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  5. M. L. Teodoro, G. N. P. Jr., and L. E. Kavraki, “Molecular Docking: A Problem with Thousands of Degrees of Freedom,” in Proc. of the 2001 IEEE International Conference on Robotics and Automation (ICRA 2001), Seoul, Korea, 2001, pp. 960–966.
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  6. A. Sudsang and L. E. Kavraki, “Part Orientation with a Force Field: Orienting Multiple Shapes using a Single Field,” in Proceedings of The 2001 IEEE/RJS International Conference on Intelligent Robots and Systems (IROS 2001), 2001, vol. 1, pp. 208–213.
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  7. F. Lamiraux and L. E. Kavraki, “Planning Paths for Elastic Objects under Manipulation Constraints,” International Journal of Robotics Research, vol. 20, no. 3, pp. 188–208, 2001.
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  8. F. Lamiraux and L. E. Kavraki, “Positioning of Symmetric and Non-Symmetric Parts Using Radial and Constant Fields: Computation of All Equilibrium Configurations,” International Journal of Robotics Research, vol. 20, no. 8, pp. 635–659, 2001.
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  9. F. Lamiraux and L. E. Kavraki, “Positioning Symmetric and Non-Symmetric Parts using Radial and Constant Force Fields,” in Robotics:New Directions, Natick, MA, 2001, pp. 37–50. Book containts the proceedings of the International Workshop on the Algorithmic Foundations of Robotics (WAFR), Dartmouth, March 2000
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  10. R. Bohlin and L. E. Kavraki, “A Randomized Algorithm for Robot Path Planning Based on Lazy Evaluation,” in Handbook on Randomized Computing, Kluwer Academic Publishers, 2001, pp. 221–249.
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  11. J. Yakey, S. M. LaValle, and L. E. Kavraki, “Randomized Path Planning for Linkages with Closed Kinematics Chains,” IEEE Transactions on Robotics and Automation, vol. 17, no. 6, pp. 951–959, 2001.
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  12. M. Moll and M. A. Erdmann, “Reconstructing Shape from Motion Using Tactile Sensors,” in Proc. 2001 IEEE/RSJ Intl. Conf. on Intelligent Robots and Systems, Maui, HI, 2001, pp. 691–700.
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  13. M. Moll and M. A. Erdmann, “Shape Reconstruction in a Planar Dynamic Environment,” no. CMU-CS-01-, 2001.
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2000

  1. E. Anshelevich, S. Owens, F. Lamiraux, and L. E. Kavraki, “Deformable Volumes in Path Planning Applications,” in Proceedings of The IEEE International Conference on Robotics and Automation (ICRA), San Fransisco, CA, 2000, vol. 3, pp. 2290–2295.
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  2. K.-F. Bohringer, B. R. Donald, L. E. Kavraki, and F. Lamiraux, “A Distributed, Universal Device for Planar Parts Feeding: Unique Part Orientation in Programmable Vector Fields,” in Distributed Manipulation, Kluwer Academic Publishers, 2000, pp. 1–29.
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  3. C. Holleman and L. E. Kavraki, “A Framework for Using the Workspace Medial Axis in PRM Planners,” in Proceedings of the 2000 International Conference on Robotics and Automation (ICRA 2000 ), San Fransisco, CA, 2000, vol. 2, pp. 1408–1413.
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  4. J. Luo and L. E. Kavraki, “Part Assembly Using Static and Dynamic Force Fields,” in Proceedings of The IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2000, vol. 2, pp. 1468–1474.
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  5. K.-F. Bohringer, B. R. Donald, L. E. Kavraki, and F. Lamiraux, “Part Orientation with One or Two Stable Equilibria Using Programmable Vector Fields,” IEEE Transactions on Robotics and Automation, vol. 16, no. 2, pp. 157–170, 2000.
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  6. R. Bohlin and L. E. Kavraki, “Path Planning Using Lazy PRM,” in Proceedings of the IEEE International Conference on Robotics and Automation, San Fransisco, CA, 2000, vol. 1, pp. 521–528.
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  7. F. Lamiraux and L. E. Kavraki, “Positioning and Orienting a Class of Symmetric Parts Using a Combination of a Unit-Radial and a Constant Force Fields,” in Proceedings of The 2000 IEEE International Conference on Robotics and Automation (ICRA 2000), San Fransisco, CA, 2000, vol. 1, pp. 178–183.
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  8. S. M. LaValle, P. W. Finn, L. E. Kavraki, and J.-C. Latombe, “A Randomized Kinematics-based Approach to Pharmacophore-Constrained Conformational Search and Database Screening,” Journal of Computational Chemistry, vol. 21, no. 9, pp. 731–747, 2000.
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  9. T. Danner and L. E. Kavraki, “Randomized Planning for Short Inspection Paths,” in Proceedings of The IEEE International Conference on Robotics and Automation (ICRA), San Fransisco, CA, 2000, vol. 2, pp. 971–976.
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  10. M. L. Teodoro, G. N. P. Jr., and L. E. Kavraki, “Singular Value Decomposition of Protein Conformational Motions: Application to HIV-1 Protease,” in Currents in Computational Molecular Biology, Tokyo, Japan, 2000, pp. 198–199. Book includes short papers from The Forth ACM International Conference on Computational Biology (RECOMB), 2000
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  11. O. Brock and L. E. Kavraki, “Towards Real-Time Motion Planning in High Dimensional Spaces,” in Proceedings of The International Symposium on Robotics and Automation (ISRA), Monterey, Mexico, 2000.
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  12. C. Nielsen and L. E. Kavraki, “A Two-Level Fuzzy PRM for Manipulation Planning,” in Proceedings of The IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2000, vol. 3, pp. 1716–1722.
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  13. M. Moll and M. A. Erdmann, “Uncertainty Reduction Using Dynamics,” in Proc. 2000 IEEE Intl. Conf. on Robotics and Automation, San Francisco, California, 2000, pp. 3673–3680.
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1999

  1. L. E. Kavraki, “Algorithms in Robotics: The Motion Planning Perspective,” in Frontiers of Engineering Publication, National Academy of Engineering, 1999, pp. 90–93.
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  2. D. Hsu, L. E. Kavraki, J.-C. Latombe, R. Motwani, and J. Rolim, “Capturing the Connectivity of High-Dimensional Geometric Spaces by Parallelizable Random Sampling Techniques,” in Parallel and Distributed Processing, vol. 1388, Springer Verlag Lecture Notes in Computer Science, 1999, pp. 330–340.
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  3. P. W. Finn and L. E. Kavraki, “Computational Approaches to Drug Design,” Algorithmica, vol. 25, pp. 347–371, 1999.
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  4. S. M. LaValle, P. W. Finn, L. E. Kavraki, and J.-C. Latombe, “Efficient Database Screening for Rational Drug Design Using Pharmacophore-Constrained Conformational Search,” in The Third ACM International Conference on Computational Biology (RECOMB), Grenoble, France, 1999, pp. 250–259.
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  5. F. Lamiraux and L. E. Kavraki, “Path Planning for Elastic Plates Under Manipulation,” in Proceedings of The IEEE International Conference on, Detroit, MI, 1999, vol. 1, pp. 151–156.
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  6. S. M. LaValle, J. Yakey, and L. E. Kavraki, “A Probabilistic Roadmap Approach for Systems with Closed Kinematic Chains,” in Proceedings of The IEEE International Conference on Robotics and Automation (ICRA), Detroit, MI, 1999, vol. 3, pp. 1671–1677.
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  7. L. J. Guibas, C. Holleman, and L. E. Kavraki, “A Probabilistic Roadmap Planner for Flexible Objects with a Workspace Medial-Axis Based Sampling Approach,” in Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), Kyongju, Korea, 1999, vol. 1, pp. 254–260.