Yu She

Yu She's research focuses on robotic manipulation, especially how robots can use touch (tactile sensing) to grasp, handle, and manipulate objects—including delicate, irregular, or deformable items like food products and cables. The work combines soft robotics, custom sensor and gripper hardware, and machine learning (including imitation learning and reinforcement learning) to help robots perform tasks safely alongside humans and in complex real-world settings such as food processing and surgery.

Publication output was relatively steady and modest through the late 2010s and early 2020s, then increased sharply in 2024 and 2025, suggesting a growing and increasingly active research program.

Generated by claude-sonnet-5 from public bibliographic data · Jul 20, 2026