Max Robotics — Global Service Robot Directory + US Certification

About

Mariusz P. Furmanek is a researcher working at the intersection of human-robot interaction, neural engineering, and motor control, with a particular focus on making robotic systems more intuitive and seamlessly integrated with human movement. His most impactful contribution lies in developing multimodal fusion frameworks that combine electromyography (EMG) signals with computer vision to decode human grasp intent for prosthetic hand control — a breakthrough approach that addresses longstanding challenges such as motion artifacts and muscle fatigue that have historically limited EMG-based prosthetics. This work has garnered 44 citations, reflecting its significance to the assistive technology community. Beyond prosthetics, Furmanek has made notable contributions to human-robot handover research, developing Gaussian process-based trajectory prediction models and submovement-leveraging algorithms that enable robots to anticipate human motion and execute fluid, natural object exchanges. His real-time object localization work further demonstrates his commitment to practical, deployable solutions using accessible hardware. Across his portfolio, Furmanek consistently bridges neuroscience-inspired motor models with engineering implementation, advancing the broader goal of robots that can interact with humans in ways that feel effortless, adaptive, and deeply informed by how human movement actually works.