Arie Melamed Yekel
Papers
1
Total Citations
21
H-Index
1
About
Dr. Arie Melamed Yekel is a pioneering researcher at the intersection of assistive robotics and neuromorphic engineering, whose work focuses on developing adaptive, low-power control systems for mobility aids. His most cited paper, "Adaptive control of a wheelchair mounted robotic arm with neuromorphically integrated velocity readings and online-learning" (2022, 21 citations), tackles a critical barrier in assistive technology: the high cost and energy demands of responsive robotic arms for individuals with upper extremity disabilities. By integrating neuromorphic computing principles—which mimic neural processing for ultra-efficient computation—with online learning algorithms, Yekel’s system enables real-time adaptation to user intent while drastically reducing power consumption. This breakthrough addresses a key limitation in wheelchair-mounted robotic arms, making them more accessible and practical for daily activities like feeding or object retrieval. His work has been recognized for bridging neuroscience-inspired hardware with practical rehabilitation engineering, offering a path toward affordable, intelligent assistive devices. With growing citation impact, Yekel’s research continues to shape the future of human-robot interaction, particularly for users with motor impairments.
Research Focus
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Top Papers
- 1