OMPL is a lightweight, thread-safe, easy to use, and extensible library for sampling-based motion planning. The code is written in C++, includes Python bindings and is released under the BSD license. OMPL is also integrated with ROS. On top of the OMPL library, we have developed OMPL.app: a GUI for rigid body motion planning that allows users to load a variety of mesh formats that define a robot and its environment, define start and goal states, and play around with different planners.
Planner Arena is a site for benchmarking sampling-based planners. The site is set up to show the performance of implementations of various sampling-based planning algorithms in the Open Motion Planning Library (OMPL).
Robowflex is a library that makes using MoveIt for motion planning easy, providing a high-level C++ API that simplifies many common use-cases in motion planning research, such as benchmarking, customization, and accessing underlying datastructures.
MotionBenchMaker is an extensible, easy-to-use tool to generate and benchmark datasets for manipulation problems. In addition to the tool to generate datasets, MotionBenchMaker comes with a suite of over 40 prefabricated datasets, with 5 different commonly used robots in 8 environments.
The Task-Motion Kit (TMKit) is a framework for Task and Motion Planning. Everyday activities, e.g., setting a table or making coffee, combine discrete decisions about objects and actions with geometric decisions about collision free motion. TMKit jointly reasons about task-level objectives, i.e., choosing actions and objects, and motion-level objectives, i.e., finding collision free paths.
HyperPlan is a hyperparameter optimization framework for selecting, tuning, and optimizing motion planning performance. Given a dataset, the best planner and configuration for that planner can be selected to maximize arbitrary cost functions such as planning time, combined planning time and path cost, etc.
OOPSMP is a package for motion planning that is easy to extend, robust, and efficient. It can be used for motion planning research or as a teaching tool. This package is still available for download, but is no longer further developed (except for minor bug fixes).
This is the front end to most of the webservers that implement our work in structural computational biology (currently EnGens, DINC-Ensemble, DINC-Covid) and our work in structural immunoinformatics (APE-Gen 2.0, 3pHLa, HLA-Arena, and PepSim). Detailed explanations of the corresponding tools are provided in the following tool descriptions. See PROTEAN-CR in the wider Informatics Technology for Cancer Research (ITCR) ecosystem here.
DINC-Ensemble docks large ligands incrementally to an ensemble of protein receptors. In case one receptor conformation is provided, this becomes protein-ligand docking.
Metabolite Translator predicts human metabolites for small molecules including drugs. It is build upon a Neural Machine Translation algorithm representing molecules as sequences using the SMILES notation. Metabolite Translator converts the SMILES of the initial molecule into the SMILES representations of the metabolites that can be possibly formed in the human body. The method has been trained on data that cover metabolism of xenobiotics as well as endogenous compounds and therefore it can predict metabolites through a wide range of enzymes including the enzymes of phase I and phase II drug metabolism.
A web server for matching 3D structural motifs in proteins against the proteins in the Protein Data Bank. With a plugin for Chimera the match results can be visualized.