Max Robotics — Global Service Robot Directory + US Certification

About

Michail Theofanidis is a robotics researcher whose work spans human-robot interaction, robotic rehabilitation, teleoperation, and autonomous mobile systems. His research is distinguished by its strong interdisciplinary character, bridging machine learning, computer vision, and cyber-physical systems to create intelligent, human-centered robotic solutions. Theofanidis made early contributions to upper-limb rehabilitation robotics, developing vision-based kinematic and dynamic models — most notably the "MAGNI Dynamics" system — that enable personalized, adaptive therapy without clinical supervision. His parallel work on motion and force analysis using depth sensors laid important groundwork for accessible, low-cost rehabilitation monitoring. In parallel, he advanced human-robot collaboration through reinforcement learning frameworks designed to promote safety and personalization in manufacturing environments. His teleoperation research, including the widely cited VARM system (19 citations), demonstrated how Virtual Reality interfaces could democratize industrial robot programming for non-expert users — a contribution with clear practical implications for industry. More recently, he has extended this work by integrating Control Barrier Functions into VR teleoperation for safe mobile robot control, while also pursuing transformer-based approaches to indoor traversability estimation. Collectively accumulating nearly 100 citations, Theofanidis represents a researcher consistently pushing toward safer, smarter, and more accessible human-robot interaction across both rehabilitation and industrial domains.