Pinned Repositories
adagrasp
[ICRA 2021] AdaGrasp: Learning an Adaptive Gripper-Aware Grasping Policy
AI4Animation
Bringing Characters to Life with Computer Brains in Unity
assistive-gym
Assistive Gym, a physics-based simulation framework for physical human-robot interaction and robotic assistance.
atob
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
awesome-robot-descriptions
A curated list of awesome robot descriptions (URDF, MJCF)
BaselineWalkingController
Humanoid walking controller with various baseline methods
bullet3
Bullet Physics SDK: real-time collision detection and multi-physics simulation for VR, games, visual effects, robotics, machine learning etc.
cleargrasp
Official repository for the paper "ClearGrasp: 3D Shape Estimation of Transparent Objects for Manipulation"
ddp
Differential Dynamic Programming (DDP) with automatic symbolic differentiation
Lipeng-Robotics's Repositories
Lipeng-Robotics/adagrasp
[ICRA 2021] AdaGrasp: Learning an Adaptive Gripper-Aware Grasping Policy
Lipeng-Robotics/AI4Animation
Bringing Characters to Life with Computer Brains in Unity
Lipeng-Robotics/atob
Lipeng-Robotics/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
Lipeng-Robotics/awesome-robot-descriptions
A curated list of awesome robot descriptions (URDF, MJCF)
Lipeng-Robotics/BaselineWalkingController
Humanoid walking controller with various baseline methods
Lipeng-Robotics/ddp
Differential Dynamic Programming (DDP) with automatic symbolic differentiation
Lipeng-Robotics/evo
Python package for the evaluation of odometry and SLAM
Lipeng-Robotics/FDD-EA
A federated data-driven evolutionary algorithm
Lipeng-Robotics/learning_from_play
Lipeng-Robotics/LearningHumanoidWalking
Training a humanoid robot for locomotion using Reinforcement Learning
Lipeng-Robotics/MPPI
Software for the AutoRally platform
Lipeng-Robotics/NL_trajectory_reshaper
Reshaping Robot Trajectories Using Natural Language Commands: A Study of Multi-Modal Data Alignment Using Transformers
Lipeng-Robotics/openrave-installation
Bash scripts to install OpenRAVE from source
Lipeng-Robotics/pose_reconstruction_and_retargeting
Lipeng-Robotics/pybullet-planning
PyBullet Planning
Lipeng-Robotics/pybullet_ompl
Simple OMPL motion planning interface for Pybullet
Lipeng-Robotics/PyDMPs
Lipeng-Robotics/pyreflexxes
Python bindings for the Reflexxes Motion Libraries
Lipeng-Robotics/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
Lipeng-Robotics/pytorch-ts
Tutorials on using encoder decoder architecture for time series forecasting
Lipeng-Robotics/RoboticsPlayroomPybullet
Environments to support https://github.com/sholtodouglas/learning_from_play and reinforcement learning for robotic manipulation.
Lipeng-Robotics/robotiq
Robotiq packages (http://wiki.ros.org/robotiq)
Lipeng-Robotics/ruckig
Online Trajectory Generation. Real-time. Time-optimal. Jerk-constrained.
Lipeng-Robotics/SaRA
SaRA: A Tool for Safe Human-Robot Co-existence and Collaboration through Reachability Analysis
Lipeng-Robotics/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.
Lipeng-Robotics/seq2seq-signal-prediction
Signal forecasting with a Sequence-to-Sequence (seq2seq) Recurrent Neural Network (RNN) model in TensorFlow - Guillaume Chevalier
Lipeng-Robotics/TopiCo
Time-optimal Trajectory Generation and Control
Lipeng-Robotics/v-hacd
Automatically exported from code.google.com/p/v-hacd
Lipeng-Robotics/visual-pushing-grasping
Train robotic agents to learn to plan pushing and grasping actions for manipulation with deep reinforcement learning.