Profile photo of Yutong Liang

Yutong Liang

San Diego, CA

Robot Learning · Dexterous Manipulation

Research

I am an M.S. student in Computer Science and Engineering at UC San Diego, advised by Xiaolong Wang.

I study how robots can learn dexterous manipulation from human demonstrations and interaction.

About Me

Selected Publications

FACT: Failure-Aware Causal Training for World-Action Models

*, Yutong Liang*, , ,

Takeaway: Failure rollouts teach an action-conditioned world model to predict the consequences of failed actions without imitating them.

ConTrack: Constrained Hand Motion Tracking with Adaptive Trade-off Control

Yutong Liang, , ,

Takeaway: Constrained reinforcement learning preserves object motion while adapting hand motion and contact to the robot's kinematics.

XL-VLA: Cross-Hand Latent Representation for Vision-Language-Action Models

*, Yutong Liang*, , , , , , †,

Takeaway: A shared latent action space, learned from kinematic constraints without demonstrations, enables VLA learning across four dexterous hands.

DexterCap: An Affordable and Automated System for Capturing Dexterous Hand-Object Manipulation

Yutong Liang*, *, Yulong Zhang*, Bowen Zhan, ,

Takeaway: Coded markers and automated reconstruction capture fine-grained hand–object motion, including dexterous manipulation of articulated objects.

All Publications

Selected Writing

Education