1 citations · 1 across the 3 of their papers we have counts for
6 papers
ULTRA: Unified Multimodal Control for Autonomous Humanoid Whole-Body Loco-Manipulation
Xialin He, Sirui Xu, Xinyao Li +4
Achieving autonomous and versatile whole-body loco-manipulation remains a central barrier to making humanoids practically useful. Yet existing approaches are fundamentally constrai…
InterPrior: Scaling Generative Control for Physics-Based Human-Object Interactions
Sirui Xu, Samuel Schulter, Morteza Ziyadi +4
Humans rarely plan whole-body interactions with objects at the level of explicit whole-body movements. High-level intentions, such as affordance, define the goal, while coordinated…
Learning Getting-Up Policies for Real-World Humanoid Robots
Xialin He, Runpei Dong, Zixuan Chen +1
Automatic fall recovery is a crucial prerequisite before humanoid robots can be reliably deployed. Hand-designing controllers for getting up is difficult because of the varied conf…
Learning Smooth Humanoid Locomotion through Lipschitz-Constrained Policies
Zixuan Chen, Xialin He, Yen-Jen Wang +8
Reinforcement learning combined with sim-to-real transfer offers a general framework for developing locomotion controllers for legged robots. To facilitate successful deployment in…
Visual Manipulation with Legs
Xialin He, Chengjing Yuan, Wenxuan Zhou +3
Animals use limbs for both locomotion and manipulation. We aim to equip quadruped robots with similar versatility. This work introduces a system that enables quadruped robots to in…
Generalizable Humanoid Manipulation with 3D Diffusion Policies
Yanjie Ze, Zixuan Chen, Wenhao Wang +5
Humanoid robots capable of autonomous operation in diverse environments have long been a goal for roboticists. However, autonomous manipulation by humanoid robots has largely been…