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From the 1 of 9 linked papers with an AI index.

collaborators

9 papers

cs.RO2026

Towards Trustworthy Embodied Intelligence: A Systems Framework and Graded Trustworthiness Levels

Xinyu Yang, Tianxing Chen, Honghao Su +38

The paper proposes a layered systems framework for achieving trustworthy embodied intelligence, defining trustworthiness as sustained safe success and introducing graded trustworth…

cs.RO2026

TouchAnything: A Dataset and Framework for Bimanual Tactile Estimation from Egocentric Video

Jianyi Zhou, Ziteng Gao, Feiyang Hong +11

Egocentric human video data, which captures rich human-environment interactions and can be collected at scale, has become a key driver of embodied intelligence research. However, e…

cs.RO2026

FlexiCup: Wireless Multimodal Suction Cup with Dual-Zone Vision-Tactile Sensing

Junhao Gong, Shoujie Li, Kit-Wa Sou +8

Conventional suction cups lack sensing capabilities for contact-aware manipulation in unstructured environments. This paper presents FlexiCup, a multimodal suction cup with wireles…

cs.RO2025

AVR: Active Vision-Driven Precise Robot Manipulation with Viewpoint and Focal Length Optimization

Yushan Liu, Shilong Mu, Xintao Chao +7

Robotic manipulation in complex scenes demands precise perception of task-relevant details, yet fixed or suboptimal viewpoints often impair fine-grained perception and induce occlu…

cs.RO2025

MoiréTac: A Dual-Mode Visuotactile Sensor for Multidimensional Perception Using Moiré Pattern Amplification

Kit-Wa Sou, Junhao Gong, Shoujie Li +4

Visuotactile sensors typically employ sparse marker arrays that limit spatial resolution and lack clear analytical force-to-image relationships. To solve this problem, we present \…

cs.RO2025

UltraTac: Integrated Ultrasound-Augmented Visuotactile Sensor for Enhanced Robotic Perception

Junhao Gong, Kit-Wa Sou, Shoujie Li +5

Visuotactile sensors provide high-resolution tactile information but are incapable of perceiving the material features of objects. We present UltraTac, an integrated sensor that co…