Zhenting Wang

The University of Osaka, Huazhong University of Science and Technology

Papers

Total Citations

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About

Zhenting Wang is a robotics researcher whose work spans human–robot collaboration, assembly planning, mobile robot localization, and humanoid stability. His most influential contribution is a comprehensive review on difficulty and complexity definitions for assembly task allocation in human–robot collaborations, which has garnered 40 citations and serves as a foundational resource for researchers designing efficient and safe collaborative systems. Wang also pioneered a novel method for robot assembly planning by enabling robots to automatically read and interpret graphical instruction manuals designed for humans—generating an Assembly Task Sequence Graph (ATSG) that bridges human-readable documentation and robotic execution. In mobile robotics, he advanced scan registration techniques with the Composite Clustering Normal Distribution Transform algorithm, improving the accuracy of simultaneous localization and mapping (SLAM) for navigation. Additionally, Wang contributed to humanoid robotics by proposing a method to check multi-contact stability using both Zero Moment Point (ZMP) and Contact Wrench Cone (CWC) constraints, enhancing the reliability of bipedal locomotion. His work demonstrates a strong interdisciplinary approach, combining perception, planning, and control to solve real-world robotic challenges.