Mahdi Nabipour
Papers
11
Total Citations
72
H-Index
6
About
Mahdi Nabipour is a robotics researcher whose work centers on wearable assistive technology, exoskeleton design, and human-robot interaction, with a particular focus on lower limb rehabilitation and augmentation. He is best known for his sustained development of **RoboWalk**, a body weight support exoskeleton device, which forms the backbone of his research portfolio and has collectively attracted over 70 citations across multiple publications. Nabipour's contributions span the full engineering lifecycle of wearable robotics: from foundational kinematics and dynamics modeling to design optimization, trajectory planning, and rigorous hardware validation through purpose-built test stands. His 2018 paper introducing the dynamics modeling of RoboWalk remains his most cited work, establishing an analytical framework that subsequent studies have built upon. A notable recent direction involves applying LSTM-based gait prediction for trajectory planning and predictive control of biological tissue mechanics — such as Achilles tendon force regulation — pushing the field toward biologically aware exoskeleton control. His 2023 work on ankle joint actuation signals a growing interest in tissue-level biomechanical intervention. Across his career, Nabipour has demonstrated a rigorous, systems-level approach to making assistive robotics safer, smarter, and more responsive to human physiology.
Research Focus
Key Achievements
Top Papers
- 1Dynamics Modeling and Performance Analysis of RoboWalk15 citations · 2018
- 2Human model in the loop design optimization for RoboWalk wearable device10 citations · 2021
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- 10RobcWalk: Conceptual and Optimal Design3 citations · 2019