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Real-time nonlinear parameter identification for an industrial robot.
Experimental packages for KUKA manipulators within ROS-Industrial (http://wiki.ros.org/kuka_experimental)
Repository containing models of KUKA robots
[UNMAINTAINED] Symbolic Framework for Modeling and Identification of Robot Dynamics
This package provides a framework to automatically perform grasp tests on an arbitrary object model of choice.
Dataset and Code for ICRA 2024 paper "Grasp-Anything: Large-scale Grasp Dataset from Foundation Models."
This repository shares the code to replicate result from the paper Synthesizing Diverse and Physically Stable Grasps with Arbitrary HandStructures using Differentiable Force Closure Estimation
working with the inspire robot hands (RH56 series)
🪐 Objaverse-XL is a Universe of 10M+ 3D Objects. Contains API Scripts for Downloading and Processing!
[CoRL 2024] DexGraspNet 2.0: Learning Generative Dexterous Grasping in Large-scale Synthetic Cluttered Scenes
Data preparation and loader for AMASS
Reinforcement Learning Environments for Omniverse Isaac Gym
Identification of dynamic parameters of robotic systems
ROS was developed for the Realman robot (http://www.realman-robotics.com/).
ROS2 was developed for the Realman robot (http://www.realman-robotics.com/).
ROS-Industrial Universal Robots support (https://wiki.ros.org/universal_robot)
Collection of high-quality robo learning papers for bipedal robots.
Contains Robot Arm MATLAB functions for calculating forward kinematics, inverse kinematics, Jacobians, Newton-Euler, etc.
NVIDIA Isaac GR00T N1 is the world's first open foundation model for generalized humanoid robot reasoning and skills.
RoboVerse: Towards a Unified Platform, Dataset and Benchmark for Scalable and Generalizable Robot Learning
Unofficial ROS2 SDK support for Unitree GO2 AIR/PRO/EDU
High-quality single file implementation of Deep Reinforcement Learning algorithms with research-friendly features (PPO, DQN, C51, DDPG, TD3, SAC, PPG)
Official implementation of Diffusion Policy Policy Optimization, arxiv 2024
The code for the RAM2020 Special Issue paper "Optimization of robot configurations for motion planning in industrial riveting"
This project attempts to use Reinforcement Learning to train a model to perform various control task on a manipulator.
Control Algorithms for the 7-DOF Heavy-duty Redundant Manipulators
An elegant PyTorch deep reinforcement learning library.
A training framework for Stable Baselines3 reinforcement learning agents, with hyperparameter optimization and pre-trained agents included.
Humanoid-Gym: Reinforcement Learning for Humanoid Robot with Zero-Shot Sim2Real Transfer https://arxiv.org/abs/2404.05695