1 / 7
SMASH: Mastering Scalable Whole-Body Skills for Humanoid Ping-Pong with Egocentric Vision
The future of robotics begins where the lab ends: in open-world interaction.
2 / 7
MM-Hand 1.0 is currently open for preorder
An open-source, high-DoF, lightweight, multimodal, and modular dexterous hand.
5 / 7
GO-1-Pro: Is Diversity All You Need for Scalable Robotic Manipulation?
The first comprehensive analysis of data diversity principles revealing optimal scaling strategies for large-scale robotic manipulation training.
2026.02.28
Announcing the strategic partnerships with Unitree, Noitom Robotics, and BrainCo. Check more details here.
2026.02.12
MM-Hand 1.0 is currently open for preorder.
2026.03.26
SMASH: Mastering Scalable Whole-Body Skills for Humanoid Ping-Pong with Egocentric Vision.
2026.02.10
We are searching for talents from all over the world. Are you looking for opportunities? Don't hesitate to contact us via [email protected] or Dr. Hongyang Li.
- 具身智能研究員 / 自動駕駛研究員 / 機器人硬件工程師 / 科研助理 / 生態合作助理 【更多詳情】
- Ph.D. student / Research Assistant / Postdoc / etc. in Hong Kong and Shanghai
- Full-time employee and Intern (international are welcome)
Representative work published at top-tiered venues.
Preprint 2026Position Paper
UniAD: The first comprehensive framework that incorporates full-stack driving tasks.
A novel generalist policy that leverages latent action representations to maximize data utilization, demonstrating predictable performance scaling with increased data volume.
IROS 2025 Best Paper Finalist
In this survey, we provide a comprehensive analysis of more than 270 papers on the motivation, roadmap, methodology, challenges, and future trends in end-to-end autonomous driving.
IEEE-TPAMI 2024Survey
