Narong Boonsirisumpun
Papers
2
Total Citations
9
H-Index
2
About
Narong Boonsirisumpun’s research bridges robotics, perception, and education, with a focus on how sensorimotor data can transform machine understanding and human-robot interaction. His most cited work, “Multiple Device Controlled Design for Implementing Telepresence Robot in Schools” (2020, 7 citations), pioneers accessible telepresence robotics for educational settings, enabling remote student participation through multi-device control systems—a contribution with growing relevance in hybrid learning environments. In his earlier, conceptually rich paper “Actuation in perception: Character classification in engineering drawings” (2015, 2 citations), Boonsirisumpun introduces a novel approach to 2D character recognition by integrating actuation data into shape representation. He analyzes sensorimotor experience through actuation sequences and employs Wreath Products (WPs) to model robot perception, offering a mathematically elegant framework that unifies action and perception. Though his citation counts are modest, his work demonstrates a distinctive interdisciplinary vision, combining robotics, cognitive science, and abstract algebra. Boonsirisumpun’s research is particularly notable for its theoretical ambition and practical application in education, making him a thoughtful contributor to the fields of robotic perception and assistive technology.
Research Focus
Key Achievements
Top Papers
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- 2