Bojan Milosevic

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About

Bojan Milosevic is a researcher whose work sits at the intersection of human-machine interaction and robotic systems, with a particular focus on intuitive control interfaces. His primary research areas include myoelectric (EMG) signal processing for hand gesture recognition and the development of robust navigation systems for aerial robots. Milosevic’s most significant contribution is his exploration of how arm posture and temporal variability affect myoelectric hand gesture recognition, a critical step toward creating more reliable and natural interfaces for poliarticulated prosthetic hands, robot control, and mobile devices. This work, published in 2018, has garnered 37 citations, reflecting its importance in advancing the practical application of EMG-based control beyond controlled laboratory settings. Earlier in his career, Milosevic demonstrated his engineering versatility by designing and experimentally validating an attitude and heading reference system for a miniature aerial robot prototype. This project, which involved processing raw inertial measurements from low-cost sensors using different estimation algorithms, earned 7 citations and showcased his ability to develop cost-effective solutions for autonomous systems. Together, these contributions highlight Milosevic’s commitment to bridging the gap between theoretical signal processing and real-world robotic applications.