Xinwei Wang

Dalian University of Technology, Hohai University

Papers

Total Citations

H-Index

About

Dr. Xinwei Wang is a pioneering researcher in robotics and rehabilitation engineering, whose work bridges autonomous systems and human-centered healthcare. His primary research areas include trajectory planning under uncertainty, human–machine interaction (HMI), and assistive technologies for neurorehabilitation. Dr. Wang’s most cited work, "Chance-constrained sneaking trajectory planning for reconnaissance robots" (2022, 10 citations), introduces a novel probabilistic framework that enables robots to navigate unpredictable environments while balancing stealth and safety—a critical contribution to autonomous reconnaissance and field robotics. More recently, his 2025 study on "Exploratory development of human–machine interaction strategies for post-stroke upper-limb rehabilitation" addresses the pressing global burden of stroke-related disabilities. By designing adaptive HMI strategies that respond to patients’ residual motor capabilities, this work lays the groundwork for more effective, personalized robotic therapy for upper-limb recovery. Though early in its citation impact, the study reflects a growing trend toward integrating robotics with clinical rehabilitation. Dr. Wang’s dual focus on robust autonomous navigation and compassionate assistive technology positions him as a versatile innovator, with future work likely to further merge these domains for real-world impact.