GitHub Trends

#python#newton_physics#nvidia_warp#physics_simulation#robotics Newton is a free, open-source GPU-accelerated physics engine for fast, accurate robot simulations, built by NVIDIA, Google DeepMind, and Disney Research. Install easily with `pip install "newton[examples]"` and run demos like pendulums, humanoids, cloth, cables, or hands via simple Python commands—it supports Linux/Windows/macOS with NVIDIA GPUs. You benefit by quickly testing robotics ideas with high-speed, differentiable physics for AI training, real-time adaptability, and complex tasks like manipulation, cutting weeks off development time. https://github.com/newton-physics/newton

#python#physics_simulation#reinforcement_learning#robot_learning#robot_manipulation#robotics robosuite v1.5 is a free MuJoCo-powered simulation tool for robot learning, with benchmarks, humanoid robots, custom designs, whole-body controllers, teleop devices, and photo-realistic rendering. It offers modular APIs for easy task creation, sensors, and human demos. You benefit by quickly prototyping robot AI experiments at low cost, ensuring reproducible results without real hardware. https://github.com/ARISE-Initiative/robosuite

#mdx#bilateral_teleoperation#force_feedback#genesis#gravity_compensation#humanoid_robot#imitation_learning#machine_learning#moveit2#mujoco#open_source#openarm#python#reinforcement_learning#robot#robot_arm#robotics#ros2#teleoperation OpenArm is a special robot arm that helps with physical AI research. It has 7 degrees of freedom, which means it can move like a human arm. This makes it good for tasks that involve touching or moving things safely around people. The robot is open-source, meaning anyone can build, modify, and use it. This is helpful because it makes advanced robotics available to more people, like researchers and students, without costing too much. A complete system with two arms costs about $6,500, which is much cheaper than similar robots. https://github.com/enactic/openarm

#python#llm#multiagent#robotics#ros2#zenoh OpenMind's OM1 is an open-source, modular AI system that lets you build and control smart robots like humanoids, quadrupeds, and educational bots. It works with many types of sensors (cameras, LIDAR, web data) and supports physical actions like moving and talking. OM1 is easy to use with Python, supports many hardware platforms via plugins, and offers tools for debugging and voice/vision AI integration. You can quickly create custom AI agents that interact naturally and upgrade them for different robots. This helps you develop advanced, human-friendly robots that can navigate, communicate, and perform tasks autonomously or with your commands. It runs on common platforms and supports full autonomy with real-time mapping and control. This system benefits you by simplifying robot development, enabling flexible AI-powered behaviors, and supporting a wide range of hardware and applications. https://github.com/OpenMind/OM1

#python#isaac_sim#omniverse_kit_extension#robot_learning#robotics Isaac Lab is a free, open-source tool that helps you easily create and test robot learning projects using fast, realistic simulations powered by NVIDIA’s Isaac Sim. It supports many robot types and environments, with accurate sensors like cameras and LIDAR, and runs quickly on GPUs. You can train robots using popular AI methods like reinforcement learning, either on your computer or in the cloud. This saves you time and money by letting you develop and improve robot skills virtually before using real hardware. Isaac Lab also has detailed guides and a community to support your learning and projects. This makes robot research and development simpler and more efficient. https://github.com/isaac-sim/IsaacLab

#cplusplus#arducopter#ardupilot#arduplane#ardurover#ardusub#autopilot#auv#copter#drone#dronekit#mavlink#plane#robotics#ros#rov#rover#sub#uas#uav#ugv ArduPilot is a powerful and open-source autopilot system that can control many types of vehicles, including drones, planes, helicopters, and even submarines. It offers features like autonomous flight modes, programmable missions, and support for various sensors and communication systems. This system is highly reliable and customizable, making it beneficial for users who need advanced control over their vehicles. It also has a strong community and extensive documentation, which helps users learn and improve their projects. https://github.com/ArduPilot/ardupilot

#jupyter_notebook#mujoco#physics#robotics MuJoCo is a powerful physics engine that helps researchers and developers simulate complex movements and interactions, especially in robotics and machine learning. It provides fast and accurate simulations, which are crucial for understanding how objects move and interact with their environment. MuJoCo is beneficial because it allows users to create realistic models of multi-joint systems, compute both forward and inverse dynamics, and even handle contacts and constraints effectively. This makes it a valuable tool for those working in fields like robotics, biomechanics, and animation[1][2][5]. https://github.com/google-deepmind/mujoco