Arash Hashemi

University of Waterloo, Shiraz University

Papers

Total Citations

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About

Arash Hashemi is a leading researcher in the field of wearable robotics and human-robot interaction, with a primary focus on developing intelligent control systems for rehabilitation and assistive technologies. His most impactful work, "Model-Based Mid-Level Regulation for Assist-As-Needed Hierarchical Control of Wearable Robots" (2022, 21 citations), introduces a groundbreaking framework for closed-loop human-robot adaptation. By designing a mid-level controller that models both human physiology and robotic dynamics, Hashemi enables robots to dynamically adjust assistance levels—providing just enough support to encourage patient recovery without fostering dependency. This "assist-as-needed" paradigm is a major contribution to neurorehabilitation, offering a computationally robust path toward personalized therapy. Earlier, Hashemi contributed to mechanical design with "A novel upper-limb rehabilitation robot with 4 DOFs: Design and prototype" (2018), where he engineered a compact mechanism integrating wrist and finger rehabilitation into a single device. While less cited, this work demonstrates his versatility in bridging hardware innovation with control theory. Hashemi’s research sits at the intersection of biomechanics, adaptive control, and clinical robotics, making him a key figure in advancing human-centered robotic systems that learn and adapt alongside their users.