Naoto Komeno

Nara Institute of Science and Technology

Papers

Total Citations

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About

Naoto Komeno is a rising researcher at the intersection of soft robotics and tactile perception, whose work is pioneering new ways for robots to sense and interact with their physical environment. His primary research areas include soft sensor design, tactile perception, and non-linear control of soft robotic systems. Komeno’s major contributions center on a novel approach to tactile sensing: injecting controlled vibrations into soft sensors to extract rich environmental data. This technique, detailed in his most-cited paper "Tactile Perception Based on Injected Vibration in Soft Sensor" (12 citations), enables robots to recognize physical properties without requiring destructive sliding motions. He has further advanced this concept to address the critical challenge of incipient slip detection—the microscopic precursor to object slippage—in his 2024 work (5 citations), which has direct implications for secure robotic grasping. On the control side, Komeno has applied spectral analysis and deep Koopman operator theory to model the complex, non-linear dynamics of soft robots (11 citations), offering a data-driven alternative to cumbersome physics-based models. His work on Deep Segmented DMP Networks (4 citations) also tackles the challenge of learning discontinuous motions for sensor-coordinated tasks. With a growing citation footprint and a clear trajectory toward solving fundamental problems in robotic manipulation, Komeno is establishing himself as a key innovator in soft robotics and tactile sensing.