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About

Dr. Katsuya Sekiguchi is a leading researcher in mobile robotics, with a primary focus on the motion control and autonomous navigation of two-wheeled mobile robots in dynamic environments. His most significant contributions lie in developing bio-inspired and mathematically rigorous obstacle avoidance strategies. Notably, his work on the lobula giant movement detector (LGMD) method, a neuron identified in the locust brain that responds to approaching predators, has been instrumental in creating rapid, biologically-plausible collision avoidance systems. This innovative approach, detailed in his highly cited 2007 paper (41 citations), demonstrates how neural principles can be applied to robotic safety. Dr. Sekiguchi has also advanced the field through Lyapunov function-based control schemes, effectively addressing the persistent challenge of local minima in potential field methods. His 2009 paper on motion control in dynamic environments, his most cited work with 56 citations, synthesizes these contributions. Beyond avoidance, his research includes sophisticated parking control algorithms that integrate motion planning and local minima resolution. Through these pioneering efforts, Dr. Sekiguchi has established a robust framework for autonomous two-wheeled robot operation, bridging biological inspiration and control theory to enhance robotic mobility and safety.