Ever want to enjoy all the privileged information in sim while seamlessly transferring to the real world? How can we correct policy mistakes after deployment? 👉Introducing GSWorld, a real2sim2real photo-realistic simulator with interaction physics with fully open-sourced code.

How do we make dexterous hands handle both power and precision tasks with ease? 🫳👌🫰 We introduce Power to Precision (💪➡️🎯), our new paper that optimizes both control and fingertip geometry to unlock robust manipulation from power grasp to fine-grained manipulations. With

Dexterous hands are increasingly common. Although they offer greater capability than low-DoF grippers, most dexterous hands still fail to perform a simple task that basic grippers handle easily: precise grasping. To bridge this gap, we co-designed both the fingertip geometry and

Really appreciate the recognition and the chance to be part of this project. I’m currently seeking the PhD positions for the coming year — I’d be glad to connect with labs or researchers in robotics and related fields! Personal website 👉 i-am-future.github.io

What if a humanoid robot could choose how to interact with the environment 🤖 — soft when it needs compliance, stiff when it needs precision, and force-aware when it must push/pull? That’s exactly what our Heterogeneous Meta-Control (HMC) framework enables. Our new framework

Most robot learning has focused on simple position control. But think about how a human uses a wrench 🔧: you’re not just rotating in one direction—you’re continuously shaping the forces, pushing and pulling differently as you move. Our robot can do exactly that now.

Proud to share our latest work In-N-On, with my amazing labmates! Check out the first-author thread below 👇

How do you teach a robot to do something it has never seen before? 🤖 With human data. Our new Human0 model is co-trained on human and humanoid data. It allows the robot to understand a novel language command and execute it perfectly in the wild without prior practice.

Checkout our new fancy demo about In-N-On 🙌👇

Meet ACE-F — a novel, foldable teleoperation platform for collecting high-quality robot demonstration data across robot embodiments. Using a specialized soft-controller pipeline, we interpret end-effector positional deviations as virtual force signals to provide the user with

I will join Tsinghua University, College of AI, as an Assistant Professor in the coming month. I am actively looking for 2026 spring interns and future PhDs (ping me if you are in #NeurIPS). It has been an incredible journey of 10 years since I attended an activity organized by

Very exciting work!🤩🤩🤩

"Cross-embodiment" is a sign of generalization. We’ve seen huge progress in manipulation and navigation — but what about humanoid whole-body control? Can ONE policy control multiple different humanoids? Meet our #ICRA2026 work 🦅EAGLE: Embodiment-Aware Generalist Specialist