Hiroshi Hosobe

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About

Hiroshi Hosobe is a researcher in autonomous robotics, focusing on the critical challenge of enabling robots to operate robustly in the unpredictable real world. His work centers on integrating logic-based reasoning with physical embodiment, addressing how robots can make reliable decisions despite environmental noise, sensor disturbances, and dynamic changes. Hosobe’s major contributions include developing an architecture for autonomously controlling embodied robots that mimics human-like “action associated with sensing” and dynamic plan revision. He has pioneered methods for robots to construct logical representations of their environment from perception data, using these maps to infer location and determine goal-reaching plans. His most-cited paper (2014, 4 citations) proposes a logic-based decision mechanism that formally reasons about goal achievability, with experimental demonstrations showing robots successfully navigating to destinations despite action uncertainties. Another notable work (2013, 3 citations) introduces an autonomy architecture that treats real-world issues like continuous environmental changes and input/output disturbances as solvable through biologically-inspired sensing-action coupling. While his citation counts are modest, Hosobe’s research represents foundational steps toward practical, logically-grounded robot autonomy in unstructured environments—a critical bridge between theoretical AI planning and real-world robotic deployment.