Search Results for "use"
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Showing 9 open source projects for "use"
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NVIDIA Isaac Lab
Unified framework for robot learning built on NVIDIA 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. -
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go1pylib
go1pylib is a Python library designed to control the Go1 robot
go1pylib is a Python library designed to control the Go1 robot by Unitree Robotics. It provides an easy-to-use interface for robot movement, state management, collision avoidance, battery monitoring, and MQTT communication. Ideal for research and robotics development. -
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Open X-Embodiment
Unified open dataset enabling cross-embodiment learning for robotics
Open X-Embodiment is a large-scale collaborative initiative led by Google DeepMind to unify robotic learning datasets into a consistent and standardized format, simplifying access and usage across the robotics research community. Its primary goal is to make all available open-source robotic data interoperable by representing them using the RLDS (Reinforcement Learning Dataset Structure) episode format. This enables seamless integration for training, evaluation, and model development across... -
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PyUltimateRobot
Controls any Robot in Python
...Ability to program easily with a GUI and visual interface that sees things from the robots' camera perspective. Flexible use of coordinate spaces that make programming arms with 6 or more degrees of freedom super easy. Got a bot arm with 13 linkages that can reach around corners? Easy. Simple arm with only 2 degrees of freedom, with one polar and one cartesian? Any arm geometry works. -
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Autonomous Robot Simulator
Physically-accurate robotics simulator written in Python
ARS is a physically-accurate robotics simulator written in Python. It's main purpose is to help researchers with to develop mobile manipulators and, in general, any multi-body system. It is open-source, modular, easy to learn and use, and can be a valuable tool in the process of robot design, in the development of control and reasoning algorithms, as well as in teaching and educational activities. -
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Constrained Manipulation Planning Suite
openrave plugins for constrained manipulation
...The planning and inverse kinematics algorithms in this suite are designed for articulated robots like robotic arms and humanoids. CoMPS is implemented in C++ and compiles in linux only. There are also several examples in python and matlab that show how to interface with openrave to use the plugins in CoMPS. It has been tested on all Ubuntu version from the last few years and will probably work with most modern linux distributions. Please see the wiki for installation and examples: https://sourceforge.net/p/comps/wiki/Home/ -
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The USC ROS packages project offers algorithms and drivers for the robotics projects underway in the labs at the University of Southern California. These packages are for use with the ROS software infrastructure (http://ros.sourceforge.net/).
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Lightning Planning Framework for ROS
ROS package implementing the Lightning Framework using OMPL
...The code was developed at UC Berkeley by Cameron Lee and Dmitry Berenson under the supervision of Prof. Pieter Abbeel and Prof. Ken Goldberg. Please see the Wiki for instructions on how to install and use lightning: https://sourceforge.net/p/lightningros/wiki/Home/ -
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NOTE: We have moved the project to https://bitbucket.org/makokal/openprm/overview, all the code that is still in sf is not maintained anymore. please use the new code at the location given
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