Papers
4
Total Citations
52
H-Index
3
About
Jian-Ge Wang is a researcher whose work bridges the fields of robotics, control systems, and medical informatics, with a particular focus on improving both autonomous navigation and clinical outcomes. His most significant contribution lies in the development of bearing-based formation control for networked robotic systems, addressing parametric uncertainties to enhance the stability and coordination of multi-robot teams. This foundational work has garnered 29 citations, underscoring its impact on the robotics community. Wang has also advanced mobile robot path planning by integrating grid networks with improved particle swarm optimization, effectively solving deadlock problems in obstacle-laden environments—a key achievement for autonomous systems. Notably, his research extends into healthcare, where he has explored preoperative predictors of early death in bladder cancer patients undergoing robot-assisted radical cystectomy. This study, with 14 citations, identifies critical laboratory markers that could improve survival rates through early intervention. By combining engineering precision with medical application, Wang demonstrates a unique ability to translate technical innovations into real-world solutions, making his work relevant to both roboticists and clinicians seeking to enhance system performance and patient care.
Research Focus
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Top Papers
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