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From the 2 of 5 linked papers with an AI index.

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5 papers

cs.RO2026

Representation-Aligned Tactile Grounding for Contact-Rich Robotic Manipulation

Ruilin Chen, Jingkai Jia, Tong Yang +8

The paper proposes a lightweight latent tactile predictor that aligns intermediate action representations with future tactile outcomes, improving contact-rich robotic manipulation…

cs.RO2026

EDAR: Learning Environment-Dependent Action Representations for Robotic Manipulation

Yuecheng Xu, Tong Yang, Jingkai Jia +3

The paper introduces EDAR, a method that learns action representations for robotic manipulation by linking control commands with the visual effects they cause in a given environmen…

cs.CV2026

VLA-Hijack: A Transferable Patch Attack against Vision-Language-Action Models via Visual Proprioception Hijacking

Jiyuan Fu, Kaixun Jiang, Jingkai Jia +7

While Vision-Language-Action (VLA) models have emerged as powerful generalist policies, their severe vulnerability to adversarial patches significantly hinders their deployment in…

cs.RO2026

LongBench: Evaluating Robotic Manipulation Policies on Real-World Long-Horizon Tasks

Xueyao Chen, Jingkai Jia, Tong Yang +3

Robotic manipulation policies often degrade over extended horizons, yet existing benchmarks provide limited insight into why such failures occur. Most prior benchmarks are either s…

cs.RO2025

Fast Visuomotor Policy for Robotic Manipulation

Jingkai Jia, Tong Yang, Xueyao Chen +2

We present a fast and effective policy framework for robotic manipulation, named Energy Policy, designed for high-frequency robotic tasks and resource-constrained systems. Unlike e…