Kazuhiro Kuno

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About

Kazuhiro Kuno is a robotics researcher focused on developing intelligent, human-aware control systems for autonomous mobile robots. His primary research areas include human-robot interaction, optimal control, and localization for service and factory robots. Kuno’s most impactful work centers on designing control systems that enable robots to interact safely and intuitively with people. His 2020 paper on a "human-friendly control system design for a two-wheeled service robot" (16 citations) introduced an optimal control approach to enhance robot stability and responsiveness. He further advanced this field with his 2021 study on "uncertainty-aware non-linear model predictive control for a human-following companion robot" (16 citations), which explicitly accounts for the unpredictability of human walking patterns to avoid obstructing the user while maintaining appropriate personal space. More recently, Kuno has addressed industrial applications with his 2024 work on "localization based on floor line maps using a monocular camera for factory autonomous mobile robots" (1 citation), employing Monte Carlo Localization to enable reliable navigation in structured environments. Through these contributions, Kuno is shaping the future of robots that can seamlessly coexist and collaborate with humans in both service and industrial settings.