Papers
6
Total Citations
129
H-Index
6
About
Donghao Shao is a leading researcher in bio-inspired robotics, specializing in gecko-inspired climbing robots and neural control systems for adaptive locomotion. His work bridges biology and engineering, drawing inspiration from sprawling-posture animals like geckos and salamanders to develop robots capable of agile, energy-efficient movement on challenging surfaces. Shao’s major contributions include the development of Nyxbot, a gecko-inspired robot with adaptable body height and central pattern generator (CPG)-based neural control, enabling it to negotiate bumpy terrains and obstacles—a significant advance over previous climbing robots limited to smooth slopes. He also pioneered a hybrid soft-rigid foot design with dry adhesive material, allowing for reliable vertical climbing, and demonstrated lateral undulation mechanisms that reduce energy consumption during inclined surface climbing. His most-cited paper (46 citations) on bendable body climbing showcases his impact, while his work on modular neural control for gait adaptation and obstacle avoidance has garnered over 80 total citations. Shao’s research not only advances robotic locomotion but also provides insights into biological neural control, making him a key figure in the field of bio-inspired robotics.
Research Focus
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Top Papers
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- 6Neural Control for Gait Generation and Adaptation of a Gecko Robot12 citations · 2019