Max Robotics — Global Service Robot Directory + US Certification

About

Manuel Dangel is a leading figure in autonomous systems, with a primary focus on high-speed robotics and self-driving vehicle control. His most notable contribution is the development of the full autonomous racing system for the AMZ Driverless project, detailed in his highly cited 2020 paper. This work introduced a robust, reliable, and extensible software stack capable of navigating a previously unknown track at racing speeds—a landmark achievement in the field of autonomous navigation. By combining state-of-the-art perception, planning, and control algorithms, Dangel’s system demonstrated that autonomous vehicles could operate at the extreme limits of handling, pushing the boundaries of real-time decision-making under uncertainty. His research has garnered significant attention, with his flagship paper accumulating 11 citations and inspiring further work in autonomous racing and safety-critical driving. Dangel’s contributions are not only technical but also practical, as his system architecture has become a reference for integrating perception and control in high-speed environments. For students and researchers, his work exemplifies how theoretical advances in robotics can be translated into real-world, high-performance autonomous systems.