Sura Rodpongpun

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About

Sura Rodpongpun’s research bridges the frontiers of brain-computer interfaces (BCIs) and tactile sensing, with a focus on decoding human intention and material properties. In their highly cited 2020 work, Rodpongpun investigated key factors influencing asynchronous BCIs for movement intention detection—a critical step toward natural, voluntary control of assistive robots and rehabilitation devices. This study, with 10 citations, advances real-time BCI systems that operate without external cues, enabling more intuitive human-machine interaction. Equally impactful is their 2015 contribution, also garnering 10 citations, which introduced an innovative eight-legged tactile sensor capable of estimating the coefficient of static friction. By mimicking biological touch, this work provides a novel method for robots to assess surface slipperiness, essential for secure grasping and manipulation. Rodpongpun’s dual expertise in neural decoding and tactile perception demonstrates a commitment to creating adaptive, responsive technologies. Their work has been recognized for its practical applications in robotics and assistive technology, positioning them as a researcher who translates complex sensorimotor principles into tangible devices that enhance human capability and machine autonomy.