Mioto Waga

Papers

Total Citations

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About

Mioto Waga is a researcher whose work sits at the intersection of haptics, surgical robotics, and virtual reality. Their most-cited study, "Tactile Feels in Grasping/Cutting Processes with Scissors" (2018, 7 citations), investigates the dynamic mechanical stimuli experienced during cutting and grasping tasks—critical knowledge for designing more intuitive surgical robots and immersive VR systems. By conducting experiments with nineteen subjects using forceps and scissors, Waga systematically mapped how tactile sensations correspond to physical forces, providing foundational data for haptic feedback algorithms. This work bridges the gap between human perception and robotic manipulation, offering insights that could improve teleoperation in minimally invasive surgery and enhance realism in virtual environments. Though early in their career, Waga’s focused contributions to understanding the mechanics of touch in tool use demonstrate a clear trajectory toward advancing human-machine interaction. Their research underscores the importance of replicating natural tactile feedback in artificial systems, a key challenge in modern robotics and simulation.