Papers
3
Total Citations
30
H-Index
3
About
Dr. Boquan Li is a pioneering researcher at the intersection of bionic robotics and intelligent vision systems, whose work bridges bio-inspired locomotion and deep learning for robotic control. His most influential contribution is the development of a novel bionic underwater robot (BUR) featuring multi-flexible caudal fins, which uniquely combines the undulatory propulsion of carangiform fish with the jet propulsion of jellyfish. This seminal 2017 study, with 22 citations, established a new paradigm for hybrid aquatic locomotion, demonstrating how coordinated multi-fin movements can achieve unprecedented maneuverability and efficiency in underwater vehicles. In parallel, Dr. Li has made significant advances in robotic perception, introducing geometric property-based convolutional neural networks for indoor object detection (2021) and pioneering visual servo control methods using Faster R-CNN for industrial robots (2021). His work on integrating convolutional neural networks with visual servoing addresses critical challenges in industrial automation, enhancing robot flexibility and adaptability in manufacturing environments. Through these contributions, Dr. Li has demonstrated a remarkable ability to synthesize biological principles with cutting-edge AI, creating practical solutions that advance both underwater exploration and intelligent manufacturing systems.
Research Focus
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