Masaru Sasaki

Papers

Total Citations

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About

Masaru Sasaki is a robotics researcher specializing in human-machine interfaces and assistive mobile robot control. His work centers on integrating biological signal processing with impedance-based navigation systems to create more intuitive and safer human-robot interactions. Sasaki’s key contributions include developing an EMG-controlled mobile robot that uses a multi-layered non-contact impedance model for obstacle avoidance, where a recurrent probabilistic neural network classifies muscle signals to enable voluntary control without requiring direct user handling. He further advanced this concept by introducing virtual impedance force feedback, creating tactile feedback systems that generate virtual repulsive forces around the robot, allowing it to autonomously avoid obstacles while maintaining user control. Though his most cited works have accumulated 3 and 2 citations respectively, these papers represent foundational steps in non-contact impedance applications for biological signal-controlled robotics. His research bridges the gap between neural signal processing and physical human-robot interaction, offering promising pathways for developing assistive technologies that can respond to both user intent and environmental constraints simultaneously.