ericcsr Goto Github PK

1320groupproject

This is our code of smart watch and home terminal(smart radar)

allegro_hand_ros

allegro_hand_ros_v4

autopilot

A self driving car model for humans.

awesome-papers-bstem

A small reading list contains currently influential papers for reading

brax

Massively parallel rigidbody physics simulation on accelerator hardware.

can_pid

This is a prototype of can communication

can_resource

This is a CAN resource

clothfromdepth

This is an under development repostory that reconstruct cloth model for simulation from depth camera observation

cnn-implementation

Try to implement and test CNNs and play around with hyper-parameters :-)

cog-sim2real-challenge

For HKU team2

compliancedex

Compliance dexterity project basedo Isaac Gym Reinforcement Learning Environments

compliancedeximage

# Images for compliance dex project

compliancedexsensor

Support for depth camera to object centric point cloud

control-toolbox

The Control Toolbox - An Open-Source C++ Library for Robotics, Optimal and Model Predictive Control

coptimal

Real-Time Multi-Contact Model Predictive Control via ADMM

cs233hw3

d4rl-pybullet

Datasets for Data-Driven Deep Reinforcement Learning with Pybullet environments

deepmimic

Motion imitation with deep reinforcement learning.

deepmind-research

This repository contains implementations and illustrative code to accompany DeepMind publications

dgl

Python package built to ease deep learning on graph, on top of existing DL frameworks.

diff-diffdrive

An experimental differentiable diffdrive robot simulator implemented by Pytorch

diffdart

DiffDART: Differentiable Physics Engine

diffdart_ddp-ilqr_opt

Implementation of iLQR/DDP for a variety of DiffDART environments

differentiable-robot-model

We are implementing differentiable models of robot manipulators, which allows us to learn typically assumed to be known models of robots for control and motion planning.

diffhand

[RSS 2021] An End-to-End Differentiable Framework for Contact-Aware Robot Design

diffsim

Scalable Differentiable Physics for Learning and Control (ICML2020) (in progress)

diffsrl

Official Project Webpage for paper "DiffSRL: Learning Dynamic-aware State Representation for Control via Differentiable Simulation"

drl_paper_summary

Summary of key papers in deep reinforcement learning. Heavily based on OpenAI SpinningUp.

dynamic_randomization

Implementation of the "Sim-to-Real Transfer of Robotic Control with Dynamics Randomization" paper

ee_training

This place is for EE training assignments. To submit the assignments, please create a branch named after your display name on Slack, and then push to the remote repo. For the files not on the expected location, they are not acknowledged.