Max Robotics — Global Service Robot Directory + US Certification

About

Parham Haji Ali Mohamadi is a rising researcher at the intersection of robotics, rehabilitation, and energy optimization. His work primarily focuses on multi-robot systems, human-robot interaction, and assistive technologies for motor recovery. His most cited paper, "Energy-aware multi-robot task scheduling using meta-heuristic optimization methods for ambiently-powered robot swarms" (2024, 22 citations), introduces novel scheduling algorithms that enable robot swarms to operate efficiently under energy constraints, a critical advancement for autonomous systems in remote or resource-limited environments. In rehabilitation robotics, Mohamadi has made significant contributions by developing machine learning and impedance control strategies to quantify and promote active patient participation during therapy (2025, 7 citations), addressing a key challenge in robot-aided rehabilitation. He has also pioneered a muscle synergy-based method to improve robot-assisted movements (2025, 3 citations), offering a biologically inspired approach to motor re-learning. His technical innovations extend to power consumption modeling for mobile robots with unknown payloads and a novel 3D-printed electrical impedance tomography sensor for monitoring interaction pressure in wearable robots. With a growing citation record and a focus on practical, interdisciplinary solutions, Mohamadi is establishing himself as a promising voice in intelligent robotic systems and rehabilitation engineering.