collaborators

9 papers

cs.RO2026

Turning Video Models into Generalist Robot Policies

Sizhe Lester Li, Evan Kim, Xingjian Bai +4

Video generative models have emerged as a promising robotics backbone, capable of generating videos that depict the completion of complex tasks across embodiments and environments.…

cs.RO2026

PRIME: Physically-consistent Robotic Inertial and Motion Estimation for Legged and Humanoid Robots

Jiarong Kang, Kunzhao Ren, Tao Pang +1

Humanoid and legged robots interact with the environment through intermittent contacts, making accurate motion estimation fundamentally dependent on reasoning about contact dynamic…

cs.RO2026

Sumo: Dynamic and Generalizable Whole-Body Loco-Manipulation

John Z. Zhang, Maks Sorokin, Jan Brüdigam +14

This paper presents a sim-to-real approach that enables legged robots to dynamically manipulate large and heavy objects with whole-body dexterity. Our key insight is that by perfor…

cs.RO2026

Approximately Optimal Global Planning for Contact-Rich SE(2) Manipulation on a Graph of Reachable Sets

Simin Liu, Tong Zhao, Bernhard Paus Graesdal +5

If we consider human manipulation, it is clear that contact-rich manipulation (CRM)-the ability to use any surface of the manipulator to make contact with objects-can be far more e…

cs.RO2026

Physics-Driven Data Generation for Contact-Rich Manipulation via Trajectory Optimization

Lujie Yang, H. J. Terry Suh, Tong Zhao +5

We present a low-cost data generation pipeline that integrates physics-based simulation, human demonstrations, and model-based planning to efficiently generate large-scale, high-qu…

cs.RO2025

Dexterous Contact-Rich Manipulation via the Contact Trust Region

H. J. Terry Suh, Tao Pang, Tong Zhao +1

What is a good local description of contact dynamics for contact-rich manipulation, and where can we trust this local description? While many approaches often rely on the Taylor ap…