Hamid Osooli

University of Massachusetts Lowell, K.N.Toosi University of Technology

Papers

Total Citations

H-Index

About

Hamid Osooli is an emerging researcher in robotics and artificial intelligence, with a focus on assistive robotics, human-robot interaction, and multi-agent coordination. His work addresses critical challenges in making robotic systems more adaptable, lifelike, and efficient in real-world environments. Osooli’s major contributions include developing generalizable models for assistive robots that reduce the need for impractical data collection, thereby enhancing model applicability across diverse tasks. He has also pioneered the use of game theory to coordinate robotic eye movements, introducing algorithms that enable more human-like, synchronized motion—a novel approach that bridges theoretical modeling with hardware implementation. Additionally, his work on occlusion handling in multi-camera systems, through the “Releaf” algorithm, offers a real-time solution for uninterrupted video streams, with potential applications in surveillance and autonomous navigation. While his citation counts are currently modest (totaling 5 across his top papers), his innovative integration of game theory into robotics and his focus on practical, scalable solutions mark him as a promising contributor to the field. Osooli’s research is particularly valuable for students and engineers seeking to develop more intelligent and adaptable robotic systems.