Sizhe Tian — accepted AI-conference papers

2025

Active Prostate Phantom with Multiple Chambers

Sizhe Tian, Yinoussa Adagolodjo, Jérémie Dequidt

IROS 2025

Prostate cancer is a major global health concern, requiring advancements in robotic surgery and diagnostics to improve patient outcomes. A phantom is a specially designed object that simulates human tissues or organs. It can be used for calibrating and testing a medical process, as well as for train

Cited by 0 Source ↗Scholar ↗

2024

Multi-Tap Resistive Sensing and FEM Modeling Enables Shape and Force Estimation in Soft Robots

Sizhe Tian, Barnabas Gavin Cangan, Stefan Escaida Navarro, Artem Beger, Christian Duriez, Robert K. Katzschmann

RA-L 2024

We address the challenge of reliable and accurate proprioception in soft robots, specifically soft robots with tight packaging constraints and relying only on internally embedded sensors. While various sensing approaches with single sensors have commonly been tried using a constant curvature assumpt

Cited by 16 Source ↗Scholar ↗