Pengbo Huang
Papers
6
Total Citations
92
H-Index
4
About
Pengbo Huang is a leading researcher in the field of robotic exoskeletons, with a focus on human-robot interaction and assistive locomotion. His work centers on developing intelligent control systems that enable wearable exoskeletons to adapt to human motion in real time. Huang’s most cited paper, “Fuzzy Enhanced Adaptive Admittance Control of a Wearable Walking Exoskeleton With Step Trajectory Shaping” (50 citations), introduces a novel method for reshaping gait patterns in response to mechanical perturbations, significantly improving walking stability. He also pioneered a human-in-the-loop cooperative control framework (25 citations) that allows exoskeletons to follow time-variable human intentions, enhancing mobility for users. His research extends to whole-body locomotion for task-oriented applications, such as cart pushing with obstacle avoidance, and incorporates advanced techniques like dynamic motion primitives, model predictive control, and neural network-based optimization. With a total of over 90 citations across his key works, Huang’s contributions are shaping the next generation of adaptive, intelligent exoskeletons for rehabilitation and mobility assistance.
Research Focus
Key Achievements
Top Papers
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- 6Neural Network-Based Optimal Control of a Lower-limb Exoskeleton Robot2 citations · 2021