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About

Daniel Sutopo Pamungkas is a researcher specializing in human-robot interaction, tactile feedback systems, and assistive robotics technologies. His work has made significant contributions to the development of teleoperation systems and prosthetic limb control, with a particular focus on bridging the sensory gap between human operators and robotic systems. Pamungkas is perhaps best known for his pioneering research on electro-tactile feedback, which allows users to experience realistic touch sensations when controlling remote robotic arms or prosthetic hands. His foundational papers, "Tele-operation of a robot arm with electro tactile feedback" (2013, 38 citations) and "Immersive teleoperation of a robot arm using electro-tactile feedback" (2015, 31 citations), established key frameworks for incorporating tactile sensation into teleoperation, enabling more dexterous and intuitive robot control in hazardous or inaccessible environments. Beyond teleoperation, Pamungkas has advanced prosthetic hand control through EMG-based signal processing, combining Myo Armband sensors with neural network algorithms to enable natural hand movement replication. His more recent work on lower limb exoskeletons for walking rehabilitation demonstrates a broadening research scope into assistive mobility devices. Collectively accumulating over 150 citations, his research represents meaningful progress in making robotic and prosthetic systems more responsive, intuitive, and human-centered.