Pengtao Ku

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About

Pengtao Ku is a researcher whose work lies at the intersection of intelligent robotics and optimization algorithms, with a particular focus on advancing autonomous navigation systems. His most-cited paper, "Research on robot path planning based on whale optimization algorithm" (2021), has garnered 9 citations and represents a significant contribution to the field of mobile robotics. In this work, Ku addresses the growing complexity of robotic working environments by integrating sensor technology with bio-inspired computational intelligence. By adapting the whale optimization algorithm—a metaheuristic inspired by humpback whale hunting behavior—for robotic path planning, he demonstrates how nature-inspired strategies can enable more efficient and intelligent navigation in dynamic settings. This research bridges theoretical optimization with practical robotics applications, offering a framework for robots to autonomously determine optimal trajectories while avoiding obstacles. Ku’s work is particularly relevant as industries increasingly deploy mobile robots in logistics, manufacturing, and service sectors. His contributions highlight the potential of swarm intelligence algorithms to solve real-world engineering challenges, making his research a valuable resource for students and engineers exploring the frontiers of autonomous systems and computational optimization.