Papers
8
Total Citations
76
H-Index
4
About
Dr. Umer Asgher is a pioneering researcher at the intersection of neuroergonomics, assistive robotics, and human-robot interaction. His work primarily focuses on developing brain-machine interfaces (BMI) and robotic therapies for clinical populations, particularly children with Autism Spectrum Disorder (ASD) and hemiplegic patients. Asgher’s major contributions include demonstrating how mental workload (MWL) can be measured via functional near-infrared spectroscopy (fNIRS) to optimize motor training with soft exoskeletons—a breakthrough for neurofeedback and assistive technologies. His most cited paper (2021, 28 citations) established this framework, while his longitudinal study on multi-robot therapy (2020, 20 citations) showed significant improvements in collaborative multi-human interaction among children with ASD. He has also explored the effects of visual stimuli and active vs. passive robotic interaction on joint attention using NAO robots, and developed novel hand gesture control systems via Myo armbands. Beyond clinical applications, Asgher has contributed to warehouse automation with chain-driven mechanisms for autonomous mobile robots. His innovative use of tunnel magnetoresistance (TMR) sensors for robotic hand positioning further underscores his versatility. With a growing citation impact and a clear focus on translating neuroergonomic principles into real-world robotic solutions, Asgher is shaping the future of inclusive, intelligent assistive systems.
Research Focus
Key Achievements
Top Papers
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- 4Hand Gesture Based Control of NAO Robot Using Myo Armband6 citations · 2019
- 5Effect of Paired Stimuli on Joint Attention of Children with ASD3 citations · 2020
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