Papers
2
Total Citations
5
H-Index
2
About
Hao Si is a researcher in bio-inspired robotics, with a primary focus on the locomotion and energy efficiency of tail-actuated robotic fish. His work addresses the critical challenge of optimizing motion energy consumption in underwater robotic systems, drawing inspiration from biological propulsion. Si’s most-cited paper, "Motion Energy Modeling for Tail-Actuated Robotic Fish" (2017, 3 citations), establishes a foundational framework for quantifying the energy costs associated with caudal fin movements. In a closely related study, "Experimental Analysis on Motion Energy Consumption for the Caudal Fin of Robotic Fish" (2017, 2 citations), he provides empirical validation of these models through controlled experiments, offering practical insights for designing more efficient robotic swimmers. Although his citation counts are modest, Si’s contributions are notable for their rigorous integration of theoretical modeling and experimental verification, a dual approach that advances the field’s understanding of energy-efficient propulsion. His work serves as a valuable reference for researchers developing autonomous underwater vehicles, where battery life and endurance are paramount. Si’s research exemplifies the careful, foundational science needed to bridge biological principles with engineering applications.
Research Focus
Key Achievements
Top Papers
- 1Motion Energy Modeling for Tail-Actuated Robotic Fish3 citations · 2017
- 2