Papers
6
Total Citations
45
H-Index
4
About
Yousef Bazargan-Lari is a mechanical engineer and robotics researcher whose work spans two deeply interconnected domains: magnetorheological (MR) brake technology and bipedal locomotion dynamics. His most influential contribution, a 2019 study on MR brake design optimization using the Nelder–Mead algorithm (19 citations), introduced a novel brake geometry that significantly enhances braking torque, with practical applications in robots, e-bicycles, and haptic devices. Complementing this, his work on MR brakes for wheelchair manipulation demonstrates a meaningful commitment to assistive technology for physically challenged individuals. On the robotics side, Bazargan-Lari has made sustained contributions to understanding human-like locomotion, modeling the swing leg as a self-impact double pendulum — a framework that more realistically captures the biomechanics of walking, including straight-knee gait dynamics and stair negotiation. His 2011 paper on one-leg locomotion control (12 citations) laid important groundwork in this area, later extended to five-link bipedal systems using adaptive neural network control methods. Across his career, Bazargan-Lari has consistently bridged theoretical dynamics with real-world engineering challenges, making his research valuable to students working in rehabilitation robotics, humanoid systems, and smart mechanical devices.
Research Focus
Key Achievements
Top Papers
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