Papers
1
Total Citations
22
H-Index
1
About
Haitao Ji is a leading researcher in underwater robotics and intelligent motion planning, with a focus on overcoming the challenges posed by complex aquatic environments. His most-cited work, "An Effective Obstacle Avoidance and Motion Planning Design for Underwater Telescopic Arm Robots Based on a Tent Chaotic Dung Beetle Algorithm" (2023), has garnered 22 citations and represents a significant breakthrough in collision-free path planning. Ji’s major contribution lies in developing a hybrid optimization algorithm that integrates Tent chaotic mapping with the dung beetle algorithm, dramatically improving the efficiency and safety of underwater manipulator operations. This work addresses a critical bottleneck in underwater robotics—how to navigate obstacles while minimizing time and computational costs. By enhancing the convergence speed and global search capability of traditional algorithms, Ji’s approach enables more reliable autonomous operations in challenging underwater settings. His research has direct implications for marine exploration, underwater maintenance, and environmental monitoring, where precise robotic manipulation is essential. Ji’s innovative fusion of bio-inspired computation and chaotic dynamics marks him as a rising figure in the field, with his work paving the way for smarter, more adaptive underwater robotic systems.
Research Focus
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Top Papers
- 1