(Daniel) Lipeng CHEN's repositories
awesome-robot-descriptions
A curated list of awesome robot descriptions (URDF, MJCF)
SaRA
SaRA: A Tool for Safe Human-Robot Co-existence and Collaboration through Reachability Analysis
BaselineWalkingController
Humanoid walking controller with various baseline methods
LearningHumanoidWalking
Training a humanoid robot for locomotion using Reinforcement Learning
ddp
Differential Dynamic Programming (DDP) with automatic symbolic differentiation
AI4Animation
Bringing Characters to Life with Computer Brains in Unity
openrave-installation
Bash scripts to install OpenRAVE from source
pybullet-planning
PyBullet Planning
pyreflexxes
Python bindings for the Reflexxes Motion Libraries
MPPI
Software for the AutoRally platform
NL_trajectory_reshaper
Reshaping Robot Trajectories Using Natural Language Commands: A Study of Multi-Modal Data Alignment Using Transformers
v-hacd
Automatically exported from code.google.com/p/v-hacd
evo
Python package for the evaluation of odometry and SLAM
Awesome-Deep-Learning-Resources
Rough list of my favorite deep learning resources, useful for revisiting topics or for reference. I have got through all of the content listed there, carefully. - Guillaume Chevalier
pytorch-ts
Tutorials on using encoder decoder architecture for time series forecasting
pytorch-rl-bullet
Code for DASH: Modularized Human Manipulation Simulation with Vision and Language for Embodied AI, SCA 2021, https://arxiv.org/abs/2108.12536
FDD-EA
A federated data-driven evolutionary algorithm
seq2seq-signal-prediction
Signal forecasting with a Sequence-to-Sequence (seq2seq) Recurrent Neural Network (RNN) model in TensorFlow - Guillaume Chevalier
pybullet_ompl
Simple OMPL motion planning interface for Pybullet
TopiCo
Time-optimal Trajectory Generation and Control
SceneCollisionNet
This repo contains the code for "Object Rearrangement Using Learned Implicit Collision Functions", an ICRA 2021 paper. For more information, please visit the project website.
ruckig
Online Trajectory Generation. Real-time. Time-optimal. Jerk-constrained.
visual-pushing-grasping
Train robotic agents to learn to plan pushing and grasping actions for manipulation with deep reinforcement learning.
robotiq
Robotiq packages (http://wiki.ros.org/robotiq)
RoboticsPlayroomPybullet
Environments to support https://github.com/sholtodouglas/learning_from_play and reinforcement learning for robotic manipulation.
adagrasp
[ICRA 2021] AdaGrasp: Learning an Adaptive Gripper-Aware Grasping Policy