wq13552463699 / UR5E_robot_gym_env_Real_and_Sim
Reinforcement learning environment for UR5e robot with OPENAI gym like format. Include both simulation and real parts.
☆11Updated 3 years ago
Alternatives and similar repositories for UR5E_robot_gym_env_Real_and_Sim:
Users that are interested in UR5E_robot_gym_env_Real_and_Sim are comparing it to the libraries listed below
- An autonomous grasping solution for the Emika Franka Panda robot.☆13Updated last year
- This is the code for GA-DRL-Aubo paper☆11Updated 2 years ago
- ☆22Updated 4 years ago
- ☆11Updated last year
- Vision-based robotic arm grasping using deep reinforcement learning☆18Updated last year
- ROS simulation of a UR5 robot to pick objects and inverse kinematics implementation in Python. Includes notebooks on Inverse Kinematics t…☆10Updated 3 years ago
- ☆11Updated 4 years ago
- Rank TD: End-to-End Robotic Reinforcement Learning without Reward Engineering and Demonstrations☆11Updated 2 years ago
- ☆42Updated 3 years ago
- Needs update☆17Updated 5 years ago
- The Generic Manipulation Driver Package - Implements a ROS Interface over the robotics toolbox for Python☆24Updated 9 months ago
- Efficiency, Stability and Generalization Analysis for Reinforcement Learning on Robotic Peg-in-hole Assembly☆22Updated 4 years ago
- This contains the simulation of a kinova robot and the code for collecting data and training both a grasp classifier and a RL agent☆26Updated 3 years ago
- Dynamic Movement Primitives in Python☆14Updated last year
- This repo contains the code for an implementation for a tm-robotics robotic grasper in pybullet. Furthermore, there is a gym environment …☆14Updated 4 years ago
- environments for reinforcement learning based on panda-gym☆16Updated 2 years ago
- [RA-L & ICRA 2021] Robot Imagining Open Containability Affordance of Previously Unseen Objects via Physical Simulations☆16Updated 3 years ago
- Deep Interaction Prediction Network with Application to Clutter Removal☆24Updated 3 years ago
- Implementation of Trust Region Policy Optimization and Proximal Policy Optimization algorithms on the objective of Robot Walk.