Papers
30
Total Citations
1,303
H-Index
14
About
Samer Mohammed is a prominent researcher in robotics and human-robot interaction, with a particular focus on wearable exoskeletal systems for rehabilitation and physical assistance. His work spans lower and upper limb robotic orthoses, assistive control strategies, and intelligent human-robot interfaces, placing him at the forefront of a rapidly growing field bridging engineering, neuroscience, and clinical rehabilitation. Mohammed's most influential contribution, "Lower Limb Wearable Robots for Assistance and Rehabilitation: A State of the Art" (2014), has garnered over 450 citations, establishing itself as a foundational reference for researchers entering the field. This work, alongside his earlier 2012 and 2009 state-of-the-art reviews, reflects his sustained commitment to mapping and advancing the landscape of wearable robotics for populations affected by stroke, spinal cord injuries, and age-related muscle weakness. Beyond survey literature, Mohammed has made significant technical contributions, including motion-intention-based exoskeleton control (184 citations), fast gait-mode detection algorithms, and series elastic actuator (SEA) force control for multimode human-robot interaction. His more recent work incorporates deep learning techniques, such as fuzzy convolutional attention-based networks for human activity recognition, demonstrating his evolution toward intelligent, data-driven robotic systems. Collectively, his research has profoundly shaped modern assistive robotics.
Research Focus
Key Achievements
Top Papers
- 1Lower Limb Wearable Robots for Assistance and Rehabilitation: A State of the Art450 citations · 2014
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- 4Ubiquitous robotics: Recent challenges and future trends101 citations · 2013
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