Max Robotics — Global Service Robot Directory + US Certification

About

Xiaobai Sun’s research lies at the intersection of robotics, haptics, and intelligent motion control, with a central focus on enabling robots to replicate complex human skills. Her work on motion copy systems (MCS) and motion reproduction systems addresses critical labor shortages by teaching robots to perform delicate tasks—from fruit harvesting to surgical ligation—through recorded motion and force data. A key contribution is her method for enabling robots to identify target objects using only position and force data during demonstrations, a breakthrough that moves beyond pre-programmed recognition. In her most-cited paper (2019, 9 citations), she developed grasping point estimation using stored motion and depth data, while her 2022 work (6 citations) advanced physical property estimation for more adaptive motion generation. Her research also extends to multi-degree-of-freedom haptic forceps robots for surgical tasks, tackling challenges like prolonged operation times. With a growing citation record and a focus on preserving professional skills through robotic replication, Sun’s work is paving the way for more intuitive, capable robots that can learn and adapt to real-world environments.