Tianhe Yang
Papers
1
Total Citations
3
H-Index
1
About
Tianhe Yang is a researcher in swarm robotics and bio-inspired underwater systems, with a focus on multi-agent coordination and evolutionary optimization. Their most-cited work introduces a path planning method for multiple robotic fish, leveraging a multi-objective cooperative co-evolution algorithm to address the unique movement constraints of these biomimetic vehicles. By heuristically generating initial subgroups based on yaw angles and spatial coordinates, Yang’s approach enables efficient, collision-free navigation for robotic fish swarms—a critical advancement for environmental monitoring and underwater exploration. Though early in its citation impact, this foundational study has informed subsequent research in distributed robotics and multi-objective optimization. Yang’s contributions bridge evolutionary computation and aquatic robotics, offering scalable solutions for complex, real-world coordination challenges. Their work underscores the potential of co-evolutionary strategies in dynamic, multi-agent systems, marking a promising trajectory in autonomous underwater vehicle research.
Research Focus
Key Achievements
Top Papers
- 1