Papers
8
Total Citations
162
H-Index
5
About
Chen Xie is a multidisciplinary researcher whose work bridges neuroscience, robotics, and bioengineering, with particular focus on biological neural network-based neurorobotic systems, autonomous robot control, and microrobotic manipulation. His most influential contribution — a 2023 overview of in vitro biological neural networks (BNNs) interconnected with robots — has garnered 95 citations and established him as a leading voice in the emerging field of neurorobotics, where living neural tissue is harnessed to endow robotic systems with genuine biological intelligence. Building on this foundation, Xie has developed real-time neuro-robot systems using calcium imaging and chemical stimulation, advancing the practical implementation of BNN-driven robot control. His research extends into event-based control for nonholonomic mobile robots, efficient edge-device computer vision through his EdgePoint framework, and microrobotic systems for muscle fiber manipulation and skeletal muscle regeneration screening. More recently, he has contributed to precision agriculture and sustainability technologies, reflecting a remarkably broad scientific range. With over 160 cumulative citations across eight publications spanning just a few years, Chen Xie has rapidly emerged as an innovative and versatile researcher pushing boundaries across robotics, biology, and intelligent systems.
Research Focus
Key Achievements
Top Papers
- 1An Overview of In Vitro Biological Neural Networks for Robot Intelligence95 citations · 2023
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- 3Event-based tracking control for nonholonomic mobile robots17 citations · 2020
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- 5A real-time neuro-robot system for robot state control7 citations · 2022
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