Hayato Kanno

Papers

Total Citations

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About

Hayato Kanno is a robotics researcher whose work centers on dexterous manipulation and tactile sensing, with a particular focus on slip detection for robotic hands. His most-cited paper, "Slip detection using robot fingertip with 6-axis force/torque sensor" (2013, 11 citations), addresses a critical challenge in robotic grasping: enabling robots to detect slippage without dedicated slip sensors. Kanno’s key contribution lies in developing a method that leverages standard 6-axis force/torque sensors—already common in robotic fingertips—to identify slip events, thereby eliminating the need for specialized hardware. This approach enhances the practicality and cost-effectiveness of dexterous manipulation systems. While his citation count reflects a niche but growing field, his work has provided a foundational technique for improving grip stability and adaptive control in robotic hands. Kanno’s research is particularly valuable for applications in industrial automation, prosthetics, and human-robot interaction, where reliable object handling is essential. His contributions underscore the importance of sensor-based intelligence in advancing robotic autonomy.