Papers
2
Total Citations
18
H-Index
2
About
Zeyu Sheng is a researcher at the forefront of intelligent robotics and autonomous assembly, with a focus on space applications and human-robot interaction. His work addresses critical challenges in on-orbit robotic assembly, where he has pioneered the use of bio-inspired optimization algorithms—specifically, a diversification-enhanced symbiotic organisms search—for efficient sequence planning. This contribution, detailed in his most-cited paper (2024, 16 citations), offers a novel approach to coordinating complex multi-step assembly tasks in space, reducing computational overhead while improving solution quality. Sheng also explores teleoperation systems, developing an intelligent robotic arm that leverages skeleton recognition and machine learning to interpret human poses for intuitive remote control, bridging the gap between human intent and robotic action. His research not only advances autonomous space infrastructure but also enhances the safety and precision of teleoperated systems in hazardous environments. With a growing citation record and a clear trajectory toward integrating optimization, perception, and control, Sheng is establishing himself as a promising voice in modern robotics, particularly for applications where autonomy and human oversight must coexist seamlessly.
Research Focus
Key Achievements
Top Papers
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