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About

Mahisorn Wongphati is a researcher whose work sits at the intersection of human-robot interaction and robotic perception, with a particular focus on making robotic arms intuitive and accessible for everyday use. His most influential contribution, "Where do you want to use a robotic arm? And what do you want from the robot?" (23 citations), is a foundational user-study that surveyed 96 people to map out the real-world tasks and environments where non-experts envision using robotic arms. This work directly informs the design of assistive robotics. Wongphati has also made significant technical contributions to robot autonomy, notably in "Bearing only FastSLAM using vertical line information from an omnidirectional camera" (14 citations), which advanced indoor localization and mapping using only visual bearing data. A consistent thread in his research is the study of gesture-based control, where he has systematically investigated how users naturally command a robotic arm—from asking for help to defining gestures for precise end-effector motions. Through these user-centered studies, Wongphati has helped bridge the gap between complex robotic systems and the people who need them, laying the groundwork for more intuitive, human-friendly robotic assistants.