Masaaki Kikuchi

The University of Osaka, Toshiba (Japan)

Papers

Total Citations

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About

Masaaki Kikuchi is a pioneering researcher in the intersection of robotics, cognitive science, and humanoid skill acquisition. His most influential work focuses on enabling humanoid robots to learn complex, real-time motor skills through optic flow-based visual processing, as demonstrated in his highly cited 2005 paper on ball trapping, approaching, and passing. This foundational research, which has garnered 9 citations, laid critical groundwork for integrating visual perception with physical action in humanoid platforms, bridging the gap between simulation and real-world performance—a theme he further explored in his 2005 study on how simulation and humanoid leagues can mutually benefit. Kikuchi’s contributions extend into cognitive robotics, where his 2008 work on lexical acquisition (2 citations) draws inspiration from human infant learning, proposing an active, saliency-driven model that allows robots to acquire language from minimal teaching sessions, mirroring one-shot learning in humans. By tackling both motor control and language acquisition, Kikuchi has advanced the goal of creating more autonomous, adaptive humanoid systems capable of interacting naturally with their environment and human caregivers.