Zhi‐Hong Mao

About

Zhi-Hong Mao is a multidisciplinary researcher whose work spans wireless power transfer, human-robot interaction, wearable biomedical devices, and multi-agent autonomous systems. His most influential contribution, a mat-based wireless power transfer system for biomedical implants (2013, 76 citations), introduced a groundbreaking approach to transcutaneously powering moving medical devices using magnetically resonant coupling — a design that has significantly shaped the field of implantable device engineering. Mao has also made substantial contributions to robotics and autonomous systems, developing game-theoretic collision avoidance frameworks for wheeled robots (2020, 48 citations) and optimal decentralized control strategies for heterogeneous UAV swarms. His work in human-robot symbiosis reflects a sustained commitment to bridging physiology and engineering, encompassing exoskeleton control systems, eye-saccade and facial EMG-based human-machine interfaces, and ergonomic wearable devices for assistive technology and smart home interaction. Earlier work on prosthetic and robotic hand architecture further demonstrates his long-standing interest in dexterous robotic design. More recently, Mao has expanded into visual-inertial SLAM for autonomous navigation. Across these diverse domains, his research consistently emphasizes user-centered design, intelligent control, and real-world applicability — making him a versatile and impactful figure in biomedical and robotic engineering.

Research Focus

Key Achievements

Top Papers

1. 1
   A Novel Mat-Based System for Position-Varying Wireless Power Transfer to Biomedical Implants

   76 citations · 2013
2. 2
   A Hybrid Controller for Multi-Agent Collision Avoidance via a Differential Game Formulation

   48 citations · 2020
3. 3
   Human-Centered, Ergonomic Wearable Device with Computer Vision Augmented Intelligence for VR Multimodal Human-Smart Home Object Interaction

   27 citations · 2019
4. 4
   EXGbuds

   10 citations · 2018
5. 5
   Human-robot symbiosis framework on exoskeleton devices

   5 citations · 2016
6. 6
   Optimal Control Techniques for Heterogeneous UAV Swarms

   5 citations · 2020
7. 7
   Human-machine interface using eye saccade and facial expression physiological signals to improve the maneuverability of wearable robots

   4 citations · 2017
8. 8
   IMPS: Informative Map Point Selection for Visual-Inertial SLAM

   3 citations · 2024
9. 9
   Mastering human-robot interaction control techniques using Chinese Tai Chi Chuan: Mutual learning, intention detection, impedance adaptation, and force borrowing

   3 citations · 2015
10. 10
    A Novel Architecture for the Design of Prosthetic and Robotic Hands

    3 citations · 2006

Key Collaborators

Contact & Links