Zhen Zeng

Hubei University of Technology, Northeastern University

Papers

Total Citations

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About

Zhen Zeng is a robotics and automation researcher whose work spans intelligent robotic systems, human-robot interaction, and autonomous navigation. His research addresses real-world engineering challenges by developing innovative computational and mechanical solutions that bridge the gap between theoretical robotics and practical industrial or domestic applications. Among his notable contributions, Zeng has advanced laser-enabled robotic systems for industrial maintenance, proposing a sophisticated three-dimensional point cloud-based trajectory planning method for aircraft radar radome coating cleaning — a significant step toward automating processes traditionally dependent on manual and chemical approaches. His work in human-robot collaboration has also been influential, particularly his development of implicit human-computer interaction techniques that integrate surface electromyography and inertial measurement data to enable compliant, intuitive robotic grasping. Additionally, his research on semantic scene understanding through SeanNet demonstrates a forward-thinking approach to long-term robot localization in dynamic domestic environments, addressing the persistent challenge of scene uncertainty caused by everyday human activity. While still building his citation profile — with works accumulating recognition across robotics, automation, and computer vision communities — Zeng's interdisciplinary contributions reflect a researcher committed to making robotic systems more adaptive, intelligent, and practically deployable across both industrial and service-oriented settings.