An open-source library for GPU-accelerated robot learning and sim-to-real transfer.

A collection of high-quality models for the MuJoCo physics engine, curated by Google DeepMind.

[CVPR 2025] Neural Motion Simulator Pushing the Limit of World Models in Reinforcement Learning

For real world go1 deployment

Forest Simulator based on Unity

[IROS23] InsMOS: Instance-Aware Moving Object Segmentation in LiDAR Data

The official code of TriVol in CVPR-2023

High resolution point clouds from mmWave radar

A fast and memory-efficient libarary for sparse transformer with varying token numbers (e.g., 3D point cloud).

We provide the code repository for our paper This repository includes the necessary code to replicate our experiments and utilize our DRL model for spacecraft trajectory planning. By accessing the …

Semantic Segmentation of Images and Point Clouds for Traversability Estimation

Python sample codes for robotics algorithms.

10 differentiable physical simulators built with Taichi differentiable programming (DiffTaichi, ICLR 2020)

This is the official PyTorch implementation of our paper "Grad-PU: Arbitrary-Scale Point Cloud Upsampling via Gradient Descent with Learned Distance Functions" (CVPR 2023).

Deep Reinforcement Learning for Collision Avoidance of Robotic Manipulators

Sophisticated space mission simulator. Calculate n-body trajectories, perform orbital maneuvers, apply various perturbations, plot variables, and more!

MeshTaichi: A Compiler for Efficient Mesh-based Operations (SIGGRAPH Asia 2022)

TLS point cloud semantic classification and individual tree segmentation

Skeletonization of 3D Point Clouds

Tensorforce: a TensorFlow library for applied reinforcement learning

PyTorch implementation of DQN, AC, ACER, A2C, A3C, PG, DDPG, TRPO, PPO, SAC, TD3 and ....

Individual Tree Trunks Segmentation in a Lidar Point Cloud.