Anton Belov

Fraunhofer Institute for Factory Operation and Automation, Otto-von-Guericke University Magdeburg

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About

Anton Belov is a robotics researcher whose work focuses on the practical challenges of industrial automation, particularly in force-controlled manipulation and trajectory optimization. His key research areas include robot-based sensitive assembly, where robots must interact with unknown environments using only force feedback, and the optimization of industrial robot trajectories for tasks like welding and inspection. Belov's major contribution is developing performance indicators that benchmark force-controlled robots, enabling more reliable and predictable behavior in complex assembly tasks—a critical need as this technology gains traction in industry. His 2018 paper on this topic has garnered 13 citations, reflecting its foundational role in the field. Additionally, his 2014 work on trajectory optimization for relaxed end-effector paths, with 11 citations, addresses the practical problem of improving motion efficiency for tasks requiring precise path following. Together, these contributions demonstrate Belov's impact on advancing the capability and reliability of industrial robots in sensitive, contact-rich applications.