Max Robotics — Global Service Robot Directory + US Certification

About

Felix Dreger is a researcher at the forefront of human-robot collaboration and motor skill acquisition, with a particular focus on the manual control of robotic arms in demanding industrial settings like forestry and construction. His work addresses the critical challenge of reducing high training costs by systematically analyzing how operators learn to master bimanual joystick control of complex, multi-degree-of-freedom machinery. Dreger’s major contributions include applying Fitts’ law to define movement difficulty for bimanual cranes and utilizing the two-timescales power law of learning to model skill development. He has also investigated how different feedback designs can guide target movement, comparing high and low performance groups to optimize training protocols. As part of the EU Horizon Project FELICE, Dreger is exploring AI-coordinated human-robot collaboration in flexible assembly lines, ensuring that the perspectives of both developers and end-users are integrated into system design. With over a dozen citations to his emerging body of work, Dreger is building a reputation for bridging cognitive science and robotics to create more intuitive, efficient, and human-centered control systems.