Papers
3
Total Citations
40
H-Index
3
About
Dr. Junhua Wang is a leading researcher in autonomous robotics and wireless power transfer, with a focus on enabling truly self-sufficient mobile systems. His foundational work, "Optimization design of wireless charging system for autonomous robots based on magnetic resonance coupling" (2018, 31 citations), established a core framework for stable, practical wireless charging by analyzing and optimizing coupling coils and compensation topologies. Building on this, Dr. Wang developed a misalignment-tolerant integrated inductive power transfer (IPT) system for tram logistics robots, introducing a novel dual-purpose coupler that handles both power transmission and self-compensation (2020, 6 citations). This innovation directly addresses real-world deployment challenges where precise alignment is difficult. Most recently, he has advanced autonomous manipulation through deep reinforcement learning, tackling the complex problem of radioactive waste sorting in unstructured, hazardous environments (2022, 3 citations). By combining robust wireless power solutions with intelligent control, Dr. Wang’s work bridges critical gaps in robot autonomy and safety, making significant contributions to logistics and nuclear decommissioning. His research continues to shape the future of resilient, self-charging robotic systems.
Research Focus
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