Yifeng Cao — accepted AI-conference papers

2026

Uncertainty Comes for Free: Human-In-The-Loop Policies with Diffusion Models

Zhanpeng He, Yifeng Cao, Matei Ciocarlie

ICRA 2026poster

Human-in-the-loop robot deployment has gained significant attention in both academia and industry as a semi-autonomous paradigm that enables human operators to intervene and adjust robot behaviors at deployment time, improving success rates. However, continuous human monitoring and intervention can …

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2025

AnySkin: Plug-and-Play Skin Sensing for Robotic Touch

Raunaq M. Bhirangi, Venkatesh Pattabiraman, Enes Erciyes, Yifeng Cao, Tess Lee Hellebrekers, Lerrel Pinto

ICRA 2025

While tactile sensing is widely accepted as an important and useful sensing modality, its use pales in comparison to other sensory modalities like vision and proprioception. AnySkin addresses the critical challenges that impede the use of tactile sensing - versatility, replaceability, and data reusa

Cited by 40 Source ↗code ↗Scholar ↗