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South china university of techonology
- GuangZhou
Starred repositories
NVIDIA Isaac GR00T N1.7 - A Foundation Model for Generalist Robots.
2026 最新机场推荐:拒绝搬运,坚持实测 3 个月以上。深度测评 Clash/SSR/v2ray 便宜稳定梯子,涵盖 IEPL、IPLC 专线与家宽原生IP。独家优惠码福利,助你晚高峰 4K 丝滑科学上网。
1st place solution of 2025 BEHAVIOR Challenge
Team Comet's 2025 BEHAVIOR Challenge Codebase
BEHAVIOR-1K: a platform for accelerating Embodied AI research. Join our Discord for support: https://discord.gg/bccR5vGFEx
RLinf / serl
Forked from rail-berkeley/serlSERL: A Software Suite for Sample-Efficient Robotic Reinforcement Learning
[ICLR 2026] SimpleVLA-RL: Scaling VLA Training via Reinforcement Learning
A Benchmark for Low-Level Manipulation in Home Rearrangement Tasks
VLA-Adapter: An Effective Paradigm for Tiny-Scale Vision-Language-Action Model
RLinf: Reinforcement Learning Infrastructure for Embodied and Agentic AI
Official repository of General Scene Adaptation for Vision-and-Language Navigation (ICLR'2025)
[RA-L] Lost & Found dynamically tracks object poses from egocentric videos while updating a scene graph, enabling richer semantic 3D understanding for robotic downstream tasks.
A modular high-level library to train embodied AI agents across a variety of tasks and environments.
Zeying-Gong / Falcon
Forked from facebookresearch/habitat-labOfficial Code for "From Cognition to Precognition: A Future-Aware Framework for Social Navigation" (ICRA 2025)
AI Research Platform for Reinforcement Learning from Real Panoramic Images.
The official PyTorch implementation of the paper "Human Motion Diffusion Model"
Official implementation of Human-Aware Vision-and-Language Navigation: Bridging Simulation to Reality with Dynamic Human Interactions (NeurIPS DB Track'24 Spotlight).
Learning Embeddings that Capture Spatial Semantics for Indoor Navigation, NeurIPS ORLR 2020
An attempt to reproduce the thesis Multi-Image Matching using Multi-Scale Oriented Patches
Code for the book "ROS 2 Programming - Based on Modern C++ and Python 3" 《ROS 2机器人编程实战——基于现代C++和Python 3》配套代码及相关内容维护
《李宏毅深度学习教程》(李宏毅老师推荐👍,苹果书🍎),PDF下载地址:https://github.com/datawhalechina/leedl-tutorial/releases