Papers
11
Total Citations
93
H-Index
5
About
Bangxiang Chen is a robotics and biomedical engineering researcher whose work sits at the compelling intersection of biomimetics, food science, and soft robotics. Best known for pioneering the development of masticatory robots, Chen has dedicated much of his career to creating sophisticated mechanical systems that replicate human chewing to enable objective, reproducible in vitro food texture analysis — a field with significant implications for food product development, pharmaceutical testing of chewable drugs, and understanding human oral processing. His most-cited work, "Development of a Biomimetic Masticating Robot for Food Texture Analysis" (2021, 29 citations), established a foundational platform for robotic mastication research, while subsequent studies have advanced chewing kinematics, fuzzy scheduling control, and image-based bolus analysis using GLCM techniques. Earlier in his career, Chen demonstrated versatility through contributions to modular snake robots and ferrofluid-based soft robotics (2015). His recent ChewNet dataset and cam-follower chewing robot designs reflect a commitment to open, data-driven science. With over 90 cumulative citations across a focused and growing body of work, Chen is establishing himself as a leading voice in biomimetic robotic simulation and its applications in life sciences.
Research Focus
Key Achievements
Top Papers
- 1Development of a Biomimetic Masticating Robot for Food Texture Analysis29 citations · 2021
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- 3Design of a prototype of an adaptive soft robot based on ferrofluid9 citations · 2015
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