Suzannah Wistreich — accepted AI-conference papers

2025

DexSkin: High-Coverage Conformable Robotic Skin for Learning Contact-Rich Manipulation

Suzannah Wistreich, Baiyu Shi, Stephen Tian, Samuel Clarke, Michael Nath, Chengyi Xu +2

CoRL 2025oral

Human skin provides a rich tactile sensing stream, localizing intentional and unintentional contact events over a large and contoured region. Replicating these tactile sensing capabilities for dexterous robotic manipulation systems remains a longstanding challenge. In this work, we take a step towar…

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2025

X-Capture: An Open-Source Portable Device for Multi-Sensory Learning

Samuel Clarke, Suzannah Wistreich, Yanjie Ze, Jiajun Wu

ICCV 2025poster

Understanding objects through multiple sensory modalities is fundamental to human perception, enabling cross-sensory integration and richer comprehension. For AI and robotic systems to replicate this ability, access to diverse, high-quality multi-sensory data is critical. Existing datasets are often…

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