Boai Sun

Papers

Total Citations

111

H-Index

About

Boai Sun is a leading researcher in bio-inspired robotics, with a primary focus on the modeling, control, and optimization of biomimetic underwater vehicles. His work bridges theoretical mechanics and intelligent control, driving significant advances in fish-like robot design. Sun’s most cited paper, “Recent Progress in Modeling and Control of Bio-Inspired Fish Robots” (2022, 87 citations), provides a comprehensive review of the field, highlighting how these robots outperform traditional underwater vehicles through superior efficiency, maneuverability, and reduced noise. More recently, his 2024 study on “Enhancing efficiency and propulsion in bio-mimetic robotic fish through end-to-end deep reinforcement learning” (24 citations) marks a pivotal contribution. This work demonstrates that intelligent control policies—not just bio-inspired structures—are critical for minimizing energy expenditure, a challenge often overlooked in prior research. By integrating deep reinforcement learning with robotic fish design, Sun has opened new pathways for autonomous, energy-efficient underwater exploration. His research is highly cited and increasingly influential, positioning him as a key innovator at the intersection of robotics, artificial intelligence, and marine engineering.