Jigang Xu
Papers
10
Total Citations
68
H-Index
4
About
Jigang Xu is a leading researcher in the fields of spherical amphibious robotics, multi-robot systems, and robotic rehabilitation. His most significant contribution lies in developing advanced path planning and control algorithms for spherical robots, enabling them to navigate complex aquatic and terrestrial environments. Xu’s work on the improved A-star algorithm for spherical amphibious robots (25 citations) has notably enhanced autonomous navigation efficiency, while his development of a Bowden-cable actuated exoskeleton for upper-limb rehabilitation (11 citations) demonstrates a critical application of robotics in healthcare. He has also pioneered cooperative hunting strategies for multi-robot systems using improved artificial potential field methods (8 citations) and integrated edge computing with blockchain for decentralized data processing in multi-robot networks (6 citations). Additionally, Xu has advanced real-time target tracking and recognition systems for marine applications, including aquatic animal classification and live shrimp detection using deep learning and transfer learning. His research consistently bridges theoretical innovation with practical deployment in aquaculture, marine rescue, and military defense, making him a notable figure in intelligent robotics.
Research Focus
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