Toshiya Nakamura

Papers

Total Citations

115

H-Index

About

Toshiya Nakamura is a pioneering researcher in robotics and auditory perception, whose work bridges the gap between robotic manipulation and environmental sound awareness. His key research areas include multi-modal robotic sensing, sound source tracking, and graspless manipulation. Nakamura made major contributions to auditory robotics by developing robust methods for tracking multiple sound sources through spatial integration of room and robot microphone arrays—a critical capability for robots operating in noisy, real-world environments. His 2006 paper on this topic has garnered 47 citations, while his work on distinguishing human voices from loudspeaker sounds using 64-channel microphone arrays (36 citations) advanced human-robot communication in cluttered acoustic scenes. In parallel, Nakamura contributed to robotic manipulation through innovative motion planning for graspless operations, such as pushing and tumbling objects with multiple fingertips (32 citations). His approach automatically generates diverse manipulation strategies by considering whether each finger should be position- or force-controlled. This dual expertise—combining auditory scene analysis with dexterous manipulation—positions Nakamura as a versatile roboticist whose work enables robots to both hear and interact with their environments more naturally, laying groundwork for truly autonomous systems in daily human spaces.