Search Results for "motion"

Isaac Lab is an open-source modular robotics learning framework built atop Isaac Sim. It simplifies research workflows across reinforcement learning, imitation learning, and motion planning by offering robust, GPU-accelerated simulation with realistic sensor and physics fidelity—ideal for sim-to-real robot training. Compatible and optimized for use with Isaac Sim versions (e.g., Sim 5.0 and 4.5). GPU-accelerated, high-fidelity physics and sensor simulation suitable for complex learning tasks. Offers a variety of robotic environment simulations on both Linux and Windows.

Developed on Python to leverage state-of-the-art extensibility and easily integrated plugins Able to use low cost robots with the accuracy and dexterity of much more expensive robots, achieved in part by: a) Ability to drive movement by inexpensive DC gear head motors, including the inherent ability to specify movement by applied force rather than strict space/time control that steppers impose. b) Arms and linkages don't have to have super tight tolerances, because accuracy is...

This project's repository, bug tracker, and downloads have moved to GitHub. See https://github.com/ompl/ompl. OMPL (Open Motion Planning Library) is a sampling-based motion planning library. For more details see http://ompl.kavrakilab.org

The Rice Personal Robotics Package is a collection of libraries that aims to offer methods for personal robotic assistants to operate successfully in indoor environments. These libraries are mostly focused on motion planning tasks.