Papers
9
Total Citations
113
H-Index
6
About
Zhaohui Wu is a multidisciplinary researcher whose work spans brain-computer interfaces, animal robotics, multi-robot coordination, and ubiquitous computing. Perhaps most notably, Wu has pioneered research into "rat cyborgs" — hybrid biological-machine systems in which living rats are connected to computational systems via brain-computer interfaces, enabling external control of animal behavior through targeted neural stimulation. His 2015 paper on visual cue-guided rat cyborg navigation garnered 41 citations and remains his most influential contribution, while subsequent work explored speech interaction with rat robots and mind-controlled systems enabling direct human-to-rat brain communication — pushing the boundaries of pervasive and embodied computing. Beyond animal robotics, Wu has made meaningful contributions to multi-robot systems, developing coordination frameworks that address task allocation under real-world communication and temporal constraints. His earlier research also tackled context quality modeling for ubiquitous applications, proposing nuanced approaches to evaluating contextual data reliability in smart environments. His work on evolutionary robotics further examined how cooperative behaviors emerge in physically heterogeneous robot teams. With publications spanning over a decade and citations accumulating across robotics, neuroscience, and computing domains, Wu represents a researcher consistently drawn to the intersection of biological intelligence and engineered systems.
Research Focus
Key Achievements
Top Papers
- 1Visual Cue-Guided Rat Cyborg for Automatic Navigation [Research Frontier]41 citations · 2015
- 2
- 3A Context Quality Model for Ubiquitous Applications17 citations · 2007
- 4Speech interaction with a rat9 citations · 2014
- 5Mind-controlled ratbot: A brain-to-brain system8 citations · 2014
- 6
- 7Visual Cue-Guided Rat Cyborg5 citations · 2017
- 8Brain-Machine Interface-Based Rat-Robot Behavior Control4 citations · 2019
- 9A Context Quality Model for Ubiquitous Applications2 citations · 2007