Prawito Prajitno

Papers

Total Citations

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About

Prawito Prajitno is a researcher at the forefront of bio-robotics and autonomous systems, with key contributions spanning brain-computer interfaces (BCI), mobile robot navigation, and nuclear fuel inspection. His most cited work, "EEG-EMG based bio-robotics elbow orthotics control" (2020, 8 citations), pioneers a hybrid BCI system that fuses electroencephalography (EEG) and electromyography (EMG) signals to enable intuitive control of robotic orthotics—a breakthrough with profound implications for assistive technology and rehabilitation engineering. In mobile robotics, his 2019 study on parameter tuning of G-mapping SLAM (4 citations) optimizes simultaneous localization and mapping for laser-range finder sensors, advancing autonomous navigation in complex environments. Prajitno also demonstrates remarkable versatility in nuclear engineering, developing a computer vision algorithm (2021, 3 citations) to identify post-irradiated nuclear fuel within hot cells—a critical safety innovation that automates remote manipulation of hazardous materials. His work exemplifies a rare interdisciplinary fusion, bridging neural engineering, robotics, and nuclear safety. With a growing citation footprint and applications ranging from medical orthotics to industrial automation, Prajitno’s research continues to push boundaries, offering practical solutions where human-machine interaction meets extreme operational demands.