Yixin Su

Papers

Total Citations

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About

Yixin Su is a researcher specializing in mobile robotics and intelligent path planning algorithms, with a particular focus on swarm intelligence optimization. Their most cited work, "Research on path planning for mobile robots based on improved ACO" (2021, 16 citations), addresses critical limitations in traditional ant colony optimization (ACO) algorithms. Su proposed an enhanced ACO that mitigates premature convergence to local optima, reduces path length, and minimizes excessive turns in robot navigation. By introducing random initialization of ant walkable positions, their approach significantly improves search efficiency and solution quality. This contribution has practical implications for autonomous navigation in complex environments, such as warehouse logistics and search-and-rescue operations. Su’s work demonstrates a strong commitment to advancing heuristic optimization techniques for real-world robotic applications, bridging theoretical algorithm design with practical deployment challenges. Their research continues to influence the development of more robust and efficient path planning methods in the field of mobile robotics.