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cs.RO2026

Interaction Latents as Actions for Contact-Rich Manipulation

Yuhang Zheng, Yujie Zang, Yuchen Liu +9

Contact-rich manipulation requires robots to coordinate not only where to move, but also how contact and force should evolve throughout an interaction. Yet most robot policies repr…

cs.RO2026

UMI-WM: Interactive World Modeling for Bimanual Manipulation from Wrist Cameras

Jingxiang Guo, Haoyu Zhao, Xidong Zhang +6

Universal Manipulation Interface (UMI) pairs wrist-camera videos with camera trajectories and gripper openings, providing scalable, robot-free data for learning how bimanual action…

cs.RO2026

TacForeSight: Force-Guided Tactile World Model for Contact-Rich Manipulation

Yujie Zang, Yuhang Zheng, Xian Nie +7

Contact-rich manipulation requires robots to continuously perceive and regulate evolving physical interactions under dynamic contact transitions or complex surface geometries. Rece…

cs.AI2026

TouchThinker: Scaling Tactile Commonsense Reasoning to the Open World with Large-scale Data and Action-aware Representation

Kailin Lyu, Di Wu, Pengwei Zhang +12

Touch is a key modality for embodied agents to understand the physical world. Although recent work has incorporated tactile signals into language systems for tactile commonsense re…

cs.RO2026

OmniVTA: Visuo-Tactile World Modeling for Contact-Rich Robotic Manipulation

Yuhang Zheng, Songen Gu, Yupeng Zheng +11

Contact-rich manipulation tasks, such as wiping and assembly, require accurate perception of contact forces, friction changes, and state transitions that cannot be reliably inferre…