Max Robotics — Global Service Robot Directory + US Certification

About

Yasuhiko Hato’s research lies at the intersection of human-robot interaction, spatial cognition, and deictic communication—how robots understand and use gestures like pointing to refer to regions in space. His most influential work, “Pointing to space: modeling of deictic interaction referring to regions” (2010), has garnered over 66 citations across its variants, establishing him as a key figure in enabling robots to interpret natural, human-like references to locations. Rather than merely simulating human pointing and speech, Hato’s models address the deeper challenge of grounding ambiguous spatial references—such as “over there”—into actionable robot commands. This work is foundational for robots that collaborate in dynamic environments, from warehouses to homes. He also explored how robots can show awareness of a human’s context to encourage interaction, as in his 2009 paper, which proposed strategies for making robots appear more socially attuned. Hato’s contributions are particularly notable for bridging computational modeling with real-world interaction design, offering practical frameworks for robots that can read and respond to the subtle, spatial cues that make human communication so efficient.