ncbdrck Goto Github PK

abb_supporting_repos

actor-critic-methods-paper-to-code

common-sensors

ddpg-aigym

Continuous control with deep reinforcement learning - Deep Deterministic Policy Gradient (DDPG) algorithm implemented in OpenAI Gym environments

dual_ur5_husky_mujoco

Dual UR5 Husky Robot MuJoCo Model

extended_object_detection_testing

gym-gazebo

Refer to https://github.com/AcutronicRobotics/gym-gazebo2 for the new version

gymnasium-robotics

A collection of robotics simulation environments for reinforcement learning

hcp

(NeurIPS 2018) Hardware Conditioned Policies for Multi-Robot Transfer Learning

hrl-kdl

Kinematics and geometry utilities for KDL, supportign ROS noetic and python3

iai_kinect2_opencv4

Tools for using the Kinect One (Kinect v2) in ROS with OpenCV4. Tested on ROS Noetic

kinect_with_ros

learning_ros2

libfreenect2

Open source drivers for the Kinect for Windows v2 device

mobile-aloha

Mobile ALOHA: Learning Bimanual Mobile Manipulation with Low-Cost Whole-Body Teleoperation

multiros

MultiROS is an open-source ROS based simulation environment designed for concurrent deep reinforcement learning. It provides a flexible and scalable framework for training and evaluating reinforcement learning agents for complex robotic tasks.

my_dockerfiles

ncbdrck.github.io

python-pcl

Python bindings to the pointcloud library (pcl)

reactorx200_description

reactorx200_ros_reacher

Explore the capabilities of RealROS and MultiROS in training robots for real-world tasks. This repository showcases real-world training and Gazebo simulation-based training for a reach task based on the ReactorX 200 robot manipulator.

realros

RealROS is an open-source Python framework that seamlessly integrates with ROS (Robot Operating System) to create real-world robotics environments tailored for reinforcement learning (RL) applications. This modular framework simplifies RL development, enabling real-time training with physical robots

rl_environments

A work in progress

rl_training_validation

rtd-tutorial

sb3_ros_support

This package provides ROS support for Stable Baselines3. It allows you to train robotics RL agents in the real world and simulations using ROS and SB3.

td3

Author's PyTorch implementation of TD3 for OpenAI gym tasks

test1

test_1

uniros

A comprehensive framework for reinforcement learning in robotics, which allows users to train their robots in both simulated and real-world environments.