Zhengjie Wang

Beijing Institute of Technology, Shandong University of Science and Technology

Papers

Total Citations

H-Index

About

Zhengjie Wang is a pioneering researcher in surgical robotics and wireless sensor networks, whose work bridges the gap between autonomous systems and human expertise. His most impactful contribution is the development of virtual-fixture-based osteotomy shared control, a framework that enables seamless human-robot collaboration during surgical bone cutting. This approach, detailed in his 2023 paper, integrates the precision of robotic manipulation with the surgeon’s judgment, significantly enhancing operational safety and efficiency in complex orthopedic procedures. With 10 citations, this work is gaining traction as a foundational model for shared-control surgical systems. Earlier in his career, Wang addressed critical challenges in wireless sensor networks, including carrier-based sensor deployment by mobile robots (8 citations) and advanced localization algorithms using unscented particle filters for linear networks (6 citations). These contributions improved the reliability and scalability of sensor networks in linear environments, such as pipelines or tunnels. Wang’s research trajectory demonstrates a unique ability to solve real-world automation problems, from deploying sensors in constrained spaces to enabling intuitive human-robot teamwork in the operating room.