Hamidreza Aftabi

University of British Columbia, University of Waterloo

Papers

Total Citations

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About

Hamidreza Aftabi is a researcher at the forefront of human-robot interaction, specializing in wearable robotics and human-in-the-loop control systems. His primary research focuses on developing adaptive algorithms that enable upper limb exoskeletons to minimize total muscular effort during physical tasks. Aftabi’s most cited work, "Human-in-the-Loop Weight Compensation in Upper Limb Wearable Robots Towards Total Muscles’ Effort Minimization" (2022, 10 citations), introduces a novel adaptation method that dynamically compensates for unknown object masses, reducing whole-arm strain. This approach not only enhances robotic assistance but also serves as a cognitive model for mass identification, bridging robotics and neuroscience. His earlier 2020 paper (3 citations) laid the groundwork for these principles, demonstrating consistent innovation in real-time adaptation. Aftabi’s contributions are pivotal for advancing assistive technologies in rehabilitation and industrial settings, where minimizing user fatigue is critical. With a growing citation impact, his work is shaping the future of intuitive, effort-aware wearable robots, making him a key figure in the field of human-centered robotics.