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Visual Imitation Enables Contextual Humanoid Control. CoRL 2025, Best Student Paper Award.
A flexible optimization framework for whole-body loco-manipulation, built with Pinocchio and CasADi. Supports multiple dynamics formulations and solver backends.
Enhancing Autonomous Driving Systems with On-Board Deployed Large Language Models
NVIDIA Isaac Sim™ is an open-source application on NVIDIA Omniverse for developing, simulating, and testing AI-driven robots in realistic virtual environments.
Software stack for loco-manipulation experiments across multiple humanoid platforms, with primary support for the Unitree G1. This repository provides whole-body control policies, a teleoperation s…
[TRO 2025] NeuPAN: Direct Point Robot Navigation with End-to-End Model-based Learning.
One-Step Integration of AMP into IsaacLab
Raycaster that supports multiple and dynamic mesh. Designed primarily to be used with Isaac Sim.
A Python framework for accelerated simulation, data generation and spatial computing.
Modern robot motion planning library based on Pinocchio.
TextOp: Real-time Interactive Text-Driven Humanoid Robot Motion Generation and Control
Real-time and efficient polygonal mapping designed for humanoid robots.
Train robotic agents to learn to plan pushing and grasping actions for manipulation with deep reinforcement learning.
OpenEMMA, a permissively licensed open source "reproduction" of Waymo’s EMMA model.
Access 135+ robot descriptions from the main Python robotics frameworks
Deploy walk-these-ways project on Unitree Go2
一个全开源低成本的双足机器人(2万元($3000))A Fully Opensourced Humanoid Robot with only $3000
An IsaacLab extension from DLS for basic locomotion tasks on multiple quadruped robots, featuring sim-to-sim and sim-to-real pipelines along with a set of RL optimization tricks.
Robust quadrupedal locomotion on sloped terrains: A linear policy approach.