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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

curigpt_ros

darknet

YOLOv4 / Scaled-YOLOv4 / YOLO - Neural Networks for Object Detection (Windows and Linux version of Darknet )

ddgc

deep-learning-coursera

Deep Learning Specialization by Andrew Ng on Coursera.

egad

EGAD! an Evolved Grasping Analysis Dataset

ggcnn

Generative Grasping CNN from "Closing the Loop for Robotic Grasping: A Real-time, Generative Grasp Synthesis Approach" (RSS 2018)

google-research

Google Research

gpd

Detect 6-DOF grasp poses in point clouds

gqcnn

Python module for GQ-CNN training and deployment with ROS integration.

graspit

The GraspIt! simulator

grasptta

Code for paper 'Hand-Object Contact Consistency Reasoning for Human Grasps Generation' at ICCV 2021

hot

Hierarchical Optimization Time Integration (HOT) for efficient implicit timestepping of the material point method (MPM)

human-like-dexterous-grasping

ipc

Incremental Potential Contact (IPC) is for robust and accurate time stepping of nonlinear elastodynamics. IPC guarantees intersection- and inversion-free trajectories regardless of materials, time-step sizes, velocities, or deformation severity.

libigl

Simple C++ geometry processing library.

multi-fingan

Code for the paper Multi-FinGAN: Generative Coarse-To-Fine Sampling of Multi-Finger Grasps

physical-simulation-for-deformable-bodies

pointnetgpd

PointNetGPD is an end-to-end grasp evaluation model to address the challenging problem of localizing robot grasp configurations directly from the point cloud.

polyfem

A polyvalent C++ FEM library

quantaichi

QuanTaichi evaluation suite

reinforcement-learning-with-tensorflow

Simple Reinforcement learning tutorials

rigid-ipc

Robust, intersection-free, simulations of rigid bodies.

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