Papers
16
Total Citations
704
H-Index
13
About
Ali Torabi is a leading researcher at the intersection of robotics, autonomous intelligent systems, and smart wearable technologies, with a particular focus on healthcare applications. His most impactful work, "Robotics, Smart Wearable Technologies, and Autonomous Intelligent Systems for Healthcare During the COVID‐19 Pandemic" (306 citations), provides a comprehensive analysis of how robotic and telerobotic systems can reduce infectious disease transmission risks while supporting frontline healthcare staff. Torabi has made significant contributions to human-robot interaction, particularly through his work on impedance variation and learning strategies (111 citations), which explores mathematical formulations for online adjustment of robotic systems during physical interaction with humans. His research on admittance-controlled wheeled mobile manipulators for mobility assistance (50 citations) and enhancement of force exertion capability through kinematic reconfiguration (43 citations) demonstrates practical applications for supporting older adults and executing high-force tasks. Torabi's notable achievements include developing cooperative paradigms for multilateral nonlinear teleoperation with time-varying delays, and advancing kinematic design of linkage-based haptic interfaces for medical applications. With over 600 total citations across his publications, Torabi's work continues to shape the future of intelligent robotic assistance in healthcare and beyond.
Research Focus
Key Achievements
Top Papers
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- 2Impedance Variation and Learning Strategies in Human–Robot Interaction111 citations · 2021
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