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cs.RO2026

T-Rex: Tactile-Reactive Dexterous Manipulation

Dantong Niu, Zhuoyang Liu, Zekai Wang +31

The ability to react dynamically to tactile signals has long been considered crucial to agile human-level dexterity. Yet contemporary learning-based Vision-Language-Action (VLA) mo…

cs.RO2026

Playful Agentic Robot Learning

Junyi Zhang, Jiaxin Ge, Hanjun Yoo +17

Current agentic robot systems can write executable Code-as-Policy programs, observe feedback, and revise behavior across multiple attempts, but they remain largely task-driven: reu…

cs.RO2026

Contrastive Action-Image Pre-training for Visuomotor Control

Yuvan Sharma, Dantong Niu, Anirudh Pai +16

Existing vision encoders for robotics face a fundamental bottleneck: robotic datasets lack the scale necessary for large-scale pre-training. Prior work circumvents this data scarci…

cs.RO2025

The Sound of Simulation: Learning Multimodal Sim-to-Real Robot Policies with Generative Audio

Renhao Wang, Haoran Geng, Tingle Li +7

Robots must integrate multiple sensory modalities to act effectively in the real world. Yet, learning such multimodal policies at scale remains challenging. Simulation offers a via…

cs.RO2025

Towards Embodiment Scaling Laws in Robot Locomotion

Bo Ai, Liu Dai, Nico Bohlinger +7

Cross-embodiment generalization underpins the vision of building generalist embodied agents for any robot, yet its enabling factors remain poorly understood. We investigate embodim…

cs.RO2025

Visual Imitation Enables Contextual Humanoid Control

Arthur Allshire, Hongsuk Choi, Junyi Zhang +7

How can we teach humanoids to climb staircases and sit on chairs using the surrounding environment context? Arguably, the simplest way is to just show them-casually capture a human…