Pinned Repositories
cpp-Universal-robot-kinematics
docker-ros-desktop-vnc
Dockerfiles to provide HTML5 VNC interface to access Ubuntu LXDE + ROS
fault-detection
Task-attention-based-multimodal-residual-RL
baselines
OpenAI Baselines: high-quality implementations of reinforcement learning algorithms
catgrasp
[ICRA 2022] CaTGrasp: Learning Category-Level Task-Relevant Grasping in Clutter from Simulation
Compliant-Control-and-Application
Compliant Control: 1) admittance control algorithm 2) impedance control algorithm 3) hybrid force&position algorithm in robotic arm (Universal Robot).
Deep-Reinforcement-Learning-Algorithms-with-PyTorch
PyTorch implementations of deep reinforcement learning algorithms and environments
Deep-reinforcement-learning-with-pytorch
PyTorch implementation of DQN, AC, ACER, A2C, A3C, PG, DDPG, TRPO, PPO, SAC, TD3 and ....
Deep_reinforcement_learning_Course
Implementations from the free course Deep Reinforcement Learning with Tensorflow and PyTorch
WangChuang-163's Repositories
WangChuang-163/cpp-Universal-robot-kinematics
WangChuang-163/docker-ros-desktop-vnc
Dockerfiles to provide HTML5 VNC interface to access Ubuntu LXDE + ROS
WangChuang-163/fault-detection
WangChuang-163/Task-attention-based-multimodal-residual-RL
WangChuang-163/baselines
OpenAI Baselines: high-quality implementations of reinforcement learning algorithms
WangChuang-163/catgrasp
[ICRA 2022] CaTGrasp: Learning Category-Level Task-Relevant Grasping in Clutter from Simulation
WangChuang-163/Compliant-Control-and-Application
Compliant Control: 1) admittance control algorithm 2) impedance control algorithm 3) hybrid force&position algorithm in robotic arm (Universal Robot).
WangChuang-163/Deep-Reinforcement-Learning-Algorithms-with-PyTorch
PyTorch implementations of deep reinforcement learning algorithms and environments
WangChuang-163/Deep-reinforcement-learning-with-pytorch
PyTorch implementation of DQN, AC, ACER, A2C, A3C, PG, DDPG, TRPO, PPO, SAC, TD3 and ....
WangChuang-163/Deep_reinforcement_learning_Course
Implementations from the free course Deep Reinforcement Learning with Tensorflow and PyTorch
WangChuang-163/flower
Flower: A Friendly Federated Learning Framework
WangChuang-163/furniture
IKEA Furniture Assembly Environment for Long-Horizon Complex Manipulation Tasks
WangChuang-163/gps
Guided Policy Search
WangChuang-163/gym
A toolkit for developing and comparing reinforcement learning algorithms.
WangChuang-163/hmmlearn
Hidden Markov Models in Python, with scikit-learn like API
WangChuang-163/Introduction-to-Autonomous-Robots
Introduction to Autonomous Robots
WangChuang-163/iros20-6d-pose-tracking
[IROS 2020] se(3)-TrackNet: Data-driven 6D Pose Tracking by Calibrating Image Residuals in Synthetic Domains
WangChuang-163/mujoco_sim
ROS interface for MuJoCo simulator
WangChuang-163/OEC-IRRL
WangChuang-163/onrobot_hex_ft_sensor
ros driver for onrobot hex series force torque sensor with compute box
WangChuang-163/recurrent-visual-attention
A PyTorch Implementation of "Recurrent Models of Visual Attention"
WangChuang-163/RL-Algorithm
Hello😜
WangChuang-163/robotic-grasping
Antipodal Robotic Grasping using GR-ConvNet. IROS 2020.
WangChuang-163/SFN
Learning to Fill the Seam by Vision: Sub-millimeter Peg-in-hole on Unseen Shapes in Real World
WangChuang-163/timeseries101
本教程独立网站已上线
WangChuang-163/tsai
Time series Timeseries Deep Learning Machine Learning Pytorch fastai | State-of-the-art Deep Learning library for Time Series and Sequences in Pytorch / fastai
WangChuang-163/ur-o2as
The code used at the WRC/WRS2018 by Team O2AS (excluding proprietary vision modules)
WangChuang-163/ur5-gazebo-grasping
ur5+robotiq_85_gripper gazebo grasping
WangChuang-163/vision-based-robotic-grasping
Related papers and codes for vision-based robotic grasping
WangChuang-163/wrs
Force controlled assembly process. In real and simulated environment. Using Universal Robots UR5, ROS, Gazebo.