Wenbing Zhao
Papers
9
Total Citations
478
H-Index
7
About
Wenbing Zhao is a pioneering researcher at the intersection of human-computer interaction, assistive technology, and intelligent robotics. His most influential work centers on leveraging low-cost motion sensing technology—particularly the Microsoft Kinect—to revolutionize human motion recognition and interactive systems, as evidenced by his landmark 2015 survey amassing over 303 citations. Zhao has made transformative contributions to healthcare engineering, notably developing technology-facilitated diagnostic and therapeutic tools for individuals with Autism Spectrum Disorder (ASD), a 2017 paper that has garnered 81 citations and offers hope for earlier, more consistent interventions. His technical expertise extends to advanced control systems, including synchronization of memristive neural networks using sampled-data control. In robotics, Zhao has advanced autonomous navigation through bio-inspired algorithms such as ant colony optimization and particle swarm optimization for multi-goal path planning in unknown environments. He is equally dedicated to engineering education, pioneering project-based learning frameworks that empower students with self-regulation skills in embedded systems and robotics courses. With a portfolio spanning over 400 citations across diverse applications—from ambient intelligence for people search to neural network function approximation—Zhao’s work exemplifies how practical engineering solutions can address real-world challenges in human health, autonomy, and learning.
Research Focus
Key Achievements
Top Papers
- 1A Survey of Applications and Human Motion Recognition with Microsoft Kinect303 citations · 2015
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- 5Multi-Lab-Driven Learning Method Used for Robotics ROS System Development10 citations · 2018
- 6Function Approximation through an Efficient Neural Networks Method8 citations · 2020
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