works on

From the 1 of 19 linked papers with an AI index.

collaborators

19 papers

cs.RO2026

TACTIC: Tactile and Vision Conditioned Contact-Centric Control for Whole-Arm Manipulation

Rishabh Madan, Angchen Xie, Samantha Saak +7

The paper introduces TACTIC, a receding‑horizon controller that combines RGB‑D vision and distributed tactile sensing with a contact‑centric predictive model to plan and execute wh…

cs.RO2026

SensorPerch: Sense Wherever and Whenever it Matters

Zhanxin Wu, Ruofei Tong, Tapomayukh Bhattacharjee

Existing robotic perception is constrained by sensors that are either robot-mounted or permanently fixed in the environment, locking perception to a limited set of viewpoints. Yet…

cs.LG2026

EgoCogNav: Cognition-aware Human Egocentric Navigation

Zhiwen Qiu, Ziang Liu, Wenqian Niu +2

Modeling the cognitive and experiential factors of human navigation is central to deepening our understanding of human-environment interaction and to enabling safe social navigatio…

cs.RO2026

Embodiment Meets Environment: Toward Context-Aware, Safe Physical Caregiving Robots

Zhanxin Wu, Ruofei Tong, Jiaying Fang +1

Physical caregiving robots need to assist different users with different tasks in diverse environments, and they come in many embodiments. While substantial progress has been made…

cs.RO2026

Beyond Failure Recovery: An Engagement-Aware Human-in-the-loop Framework for Robotic Systems

Jiaying Fang, Joyce Yang, Zhanxin Wu +2

Conventional human-in-the-loop approaches typically involve users only when a robot encounters failure or uncertainty, treating humans primarily as tools for improving robot perfor…

cs.RO2026

A Human-in-the-Loop Confidence-Aware Failure Recovery Framework for Modular Robot Policies

Rohan Banerjee, Krishna Palempalli, Bohan Yang +5

Robots operating in unstructured human environments inevitably encounter failures, especially in robot caregiving scenarios. While humans can often help robots recover, excessive o…