Papers
47
Total Citations
1,025
H-Index
20
About
Jiaole Wang is a prominent robotics researcher whose work spans medical robotics, surgical systems, and human-robot interaction. His research primarily focuses on flexible robotic surgery, multi-robot calibration, magnetic tracking, and minimally invasive surgical technologies — areas where his contributions have meaningfully advanced both theoretical foundations and practical clinical applications. Wang's most influential work addresses the AXB=YCZ calibration problem for comanipulating robots (96 citations), providing an elegant mathematical framework that enables coordinated multi-robot operation in unstructured environments — a critical challenge in complex procedures like robotic surgery. His widely cited review of computer-assisted transoral surgery (87 citations) established a comprehensive roadmap for flexible robotics and navigation technologies in clinical settings. He has also made significant strides in magnetic localization and capsule robotics, developing sensor array optimization strategies and innovative drug-delivery capsule systems for gastrointestinal applications. Beyond surgical robotics, Wang has demonstrated versatility through contributions to service robotics, including a gait recognition method for human-following robots (69 citations). His more recent work explores variable stiffness mechanisms and modular lockable designs for tendon-driven surgical robots, reflecting a sustained commitment to advancing minimally invasive surgery. With over 500 cumulative citations across his most impactful papers, Wang has established himself as a leading voice bridging precision engineering and medical robotics.
Research Focus
Key Achievements
Top Papers
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- 3A Gait Recognition Method for Human Following in Service Robots69 citations · 2017
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- 6Towards simultaneous coordinate calibrations for cooperative multiple robots44 citations · 2014
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