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About

Tatsuo Motoyoshi is a robotics and human-computer interaction researcher whose work spans accessible computing, mobile robotics, and robot perception. He is perhaps best known for his pioneering development of P-CUBE, a tangible, block-based programming education tool designed to teach fundamental algorithmic concepts to visually impaired students. By allowing users to physically position wooden blocks on a mat to control mobile robots, Motoyoshi's P-CUBE system opened doors to computer science education for learners who are typically underserved by conventional interfaces — work that has garnered over 40 citations across multiple iterations and refinements, including extensions incorporating RFID technology and subroutine instruction. Beyond accessibility, Motoyoshi has made notable contributions to mobile robotics, including real-time SLAM implementation over low-power wide-area networks (LPWAN), enabling teleoperation in challenging environments such as search-and-rescue scenarios. His research into robot perception addresses unknown object grasping using depth sensors, drawing on direct perception principles to reduce reliance on precise physical modeling. He has also explored bio-inspired quadruped locomotion and classroom-oriented presentation robots designed for large-group interaction. Collectively, his body of work reflects a consistent commitment to making robots and computing more accessible, adaptive, and practically deployable across educational and real-world environments.