Papers
7
Total Citations
34
H-Index
4
About
Ting-Shuo Chen is a robotics and autonomous systems researcher whose work spans humanoid robotics, autonomous wheelchair navigation, and multi-agent robot coordination. With a foundation in intelligent control systems, Chen has made notable contributions to the integration of fuzzy logic and Petri net-based architectures in robotic applications, enabling more sophisticated and reliable autonomous behavior. Chen's most recognized work focuses on autonomous robotic wheelchairs, where he developed a fuzzy controller-based subsumption behavior architecture that enhances safety and navigation—a contribution that has garnered 10 citations and addresses critical needs in assistive technology. His research on humanoid robots is equally significant, with multiple papers exploring eye-hand-leg coordination and task execution in competitive robotic settings such as FIRA HuroCup events, demonstrating practical advances in biped locomotion and process modeling. Beyond humanoid systems, Chen's investigations into fall detection using 3-axis accelerometers highlight a meaningful intersection of robotics and healthcare, particularly relevant to aging populations. His work on Petri net-based coordination frameworks for multi-robot soccer systems further underscores his expertise in distributed autonomous systems. With consistent contributions across these domains from 2010 to 2013, Chen represents a versatile researcher bridging intelligent control theory with real-world robotic applications.
Research Focus
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