Pinned Repositories
6dof-graspnet
Implementation of 6-DoF GraspNet with tensorflow and python. This repo has been tested with python 2.7 and tensorflow 1.12.
awesome-robot-imitation-learning-from-video
A collection of papers, codes and talks of imitation learning from video for robotics.
awesome-safe-reinforcement-learning
baxter_common
ROS Messages and robot description files for the Baxter Research Robot
bullet-constraints-builder
Add-on for Blender to connect rigid bodies via constraints in a physical plausible way. (You only need the ZIP file for installation in Blender. Click the filename and at the next page "Download", right click and "Save As" won't work!)
clover_lab
ROS package hosting the descriptions of CLOVER Lab CUHK
curigpt_ros
Human-like-Dexterous-Grasping
SvgToRobotMotions
Project for Robowizard to convert svg image to kawasaki robot motions
walker_6dof_grasping
Code Implementation of 6-DoF General Object Grasping for WalkerII Humanoid Robot with Multi-fingered hands
RIP4KOBE's Repositories
RIP4KOBE/SvgToRobotMotions
Project for Robowizard to convert svg image to kawasaki robot motions
RIP4KOBE/baxter_common
ROS Messages and robot description files for the Baxter Research Robot
RIP4KOBE/deep-learning-coursera
Deep Learning Specialization by Andrew Ng on Coursera.
RIP4KOBE/egad
EGAD! an Evolved Grasping Analysis Dataset
RIP4KOBE/ggcnn
Generative Grasping CNN from "Closing the Loop for Robotic Grasping: A Real-time, Generative Grasp Synthesis Approach" (RSS 2018)
RIP4KOBE/graspit
The GraspIt! simulator
RIP4KOBE/HOT
Hierarchical Optimization Time Integration (HOT) for efficient implicit timestepping of the material point method (MPM)
RIP4KOBE/Multi-FinGAN
Code for the paper Multi-FinGAN: Generative Coarse-To-Fine Sampling of Multi-Finger Grasps
RIP4KOBE/Reinforcement-learning-with-tensorflow
Simple Reinforcement learning tutorials
RIP4KOBE/robotics-rl-srl
S-RL Toolbox: Reinforcement Learning (RL) and State Representation Learning (SRL) for Robotics
RIP4KOBE/UniGrasp
Implementation of " UniGrasp: Learning a Unified Model to Grasp with Multifingered Robotic Hands"
RIP4KOBE/uois
RIP4KOBE/vgn
Real-time 6 DOF grasp detection in clutter.