Yoshihisa Sugiura

Papers

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About

Yoshihisa Sugiura is a robotics researcher whose work centers on industrial humanoid robotics, sensorimotor integration, and task automation. His key contributions lie in developing systems that enable robots to perform complex, force-sensitive tasks by integrating vision, sound, and dual-arm motion control. Sugiura’s most cited work investigates the automation of hammering tasks using an industrial humanoid robot, where he pioneered the use of auditory feedback—specifically, the sound of impact—to guide and refine robotic motion in real time. This research addresses a critical challenge in robotics: enabling machines to adapt their actions based on sensory cues, much like humans do. By designing a flexible rubber tool and a closed-loop feedback system, Sugiura demonstrated how robots can achieve precision in dynamic, contact-rich operations. While his citation count is modest, his work represents an important step toward more autonomous and perceptive industrial robots. His research is particularly relevant for students and engineers interested in humanoid robotics, sensorimotor learning, and the integration of multimodal feedback for real-world manipulation tasks.