Tatsuki Choh

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About

Tatsuki Choh is a robotics researcher whose work centers on the decentralized coordination and adaptive formation control of swarm robotic systems. His primary contributions lie in developing bio-inspired algorithms that enable groups of autonomous, non-labeled mobile robots to self-organize and transition between formations without requiring global information or centralized control. Drawing inspiration from the intelligent behavior of slime molds, Choh introduced a phase-gradient-based approach where a single leader robot, possessing knowledge of the target, guides the entire swarm through local interactions. His seminal 2010 paper, "Adaptive Formation Transition of a Swarm of Mobile Robots Based on Phase Gradient," which has garnered 14 citations, established a foundational method for adaptive formation changes. He further extended this concept to three-dimensional space in his 2016 work, demonstrating the scalability of the phase gradient guidance principle. Choh’s research is particularly notable for its emphasis on simplicity and robustness, allowing each robot to operate with minimal computational and sensory requirements. His contributions are valuable for applications in search-and-rescue, environmental monitoring, and autonomous exploration, where resilient, scalable swarm coordination is essential.