Papers
2
Total Citations
13
H-Index
2
About
Hao-Hsuan Hsu is a pioneering researcher at the intersection of robotics, artificial intelligence, and biomedical engineering. His work spans intelligent path planning for mobile robots and advanced rehabilitation technologies, with a particular focus on integrating bio-signal processing with robotic control systems. Hsu’s early landmark paper, “Artificial Immune Algorithm Based Obstacle Avoiding Path Planning of Mobile Robots” (2005, 11 citations), introduced a novel bio-inspired approach to autonomous navigation, demonstrating how immune system principles can optimize robot movement in complex environments. More recently, his cutting-edge research on “Designing an EEG Signal-Driven Dual-Path Fuzzy Neural Network-Controlled Pneumatic Exoskeleton for Upper Limb Rehabilitation” (2025, 2 citations) represents a significant breakthrough in assistive robotics. This work combines electroencephalography (EEG) signals with fuzzy neural network control to create a responsive, intelligent exoskeleton that adapts to users’ neural commands, offering new hope for stroke survivors and individuals with upper limb impairments. Hsu’s contributions exemplify how interdisciplinary approaches—merging computational intelligence, biomechanics, and neural engineering—can drive transformative solutions in both autonomous systems and human-centric rehabilitation technologies.
Research Focus
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Top Papers
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