Shengxin Sun
Papers
4
Total Citations
14
H-Index
2
About
Shengxin Sun is a pioneering researcher in space robotics and autonomous manipulation, with a focus on adaptive control systems for complex, unstructured environments. His work addresses critical challenges in orbital debris mitigation and extraterrestrial surface operations, where traditional rigid manipulators fall short. Sun’s most cited paper (2021, 8 citations) introduces a flexible brush mechanism mounted on a seven-degree-of-freedom robotic arm to despin tumbling space debris, leveraging the absolute nodal coordinate method (ANCF) for dynamic modeling—a novel approach that enhances capture success rates in zero-gravity. He further advances autonomous planning for discontinuous terrain crawling in space Dobby robots (2023, 3 citations), enabling precise motion on irregular spacecraft surfaces. Sun’s contributions extend to optimal adaptive and backstepping control methods with sliding mode differentiators (2021, 2 citations), improving disturbance rejection and finite-time stability for space arm operations. Most recently, his design of a flexible multi-constraint gripper for automated beekeeping (2025, 1 citation) demonstrates cross-domain innovation, applying space robotics principles to agricultural automation. With a cumulative citation count of 14, Sun’s research bridges theoretical control theory and practical robotic systems, offering scalable solutions for both orbital and terrestrial challenges.
Research Focus
Key Achievements
Top Papers
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