Feng Kong

Guangxi University of Science and Technology

Papers

Total Citations

H-Index

About

Feng Kong is a researcher specializing in biomimetic robotics, with a particular focus on the motion planning and control of robot-fish. His work addresses fundamental challenges in autonomous underwater vehicle design, drawing inspiration from biological locomotion to improve robotic efficiency and maneuverability. Kong’s major contributions include the development of a behavior-based motion planning algorithm for biomimetic robot-fish, which integrates five distinct behaviors—such as obstacle avoidance and target tracking—coordinated by an arbitrator to enhance real-time decision-making. This work, published in 2010, has garnered 4 citations and laid groundwork for adaptive robotic control. He further advanced the field with a 2011 study on point-to-point fuzzy control, employing Max-Min inference and laboratory-derived control rules to solve precise navigation problems, earning 2 citations. While his citation counts reflect an emerging career, Kong’s research is notable for its practical approach to bridging biological principles and engineering applications, offering valuable insights for students and researchers interested in bio-inspired robotics, fuzzy logic systems, and autonomous navigation. His contributions underscore the potential of behavior-based and fuzzy control methods in improving the performance of underwater robots.