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About

Johannes Betz is a prominent researcher at the intersection of autonomous systems, robotics, and intelligent transportation, with particular expertise in autonomous vehicles, robot operating systems, and real-time embedded systems. His work spans a broad but cohesive research agenda: advancing the safety, efficiency, and deployability of autonomous and connected systems through rigorous engineering and validation methodologies. Among his most notable contributions is his foundational work on autonomous racing, which serves as a high-stakes proving ground for autonomous vehicle algorithms. He has made significant strides in real-time systems design, particularly through his research on timing-aware ROS 2 architectures and end-to-end latency optimization, work that directly addresses the predictability challenges facing complex autonomous platforms. His survey on small-scale testbeds for connected and automated vehicles and robot swarms — already accumulating over 14 citations — has become a valuable reference for researchers building experimental infrastructure. Betz also contributes to perception, localization, and learning-based control, with papers exploring stereo visual-inertial navigation, radar-camera depth estimation, and online reinforcement learning. His dedication to education is evident in his work on hands-on robotics teaching platforms. Collectively, his research provides both theoretical rigor and practical tools that meaningfully accelerate the development of real-world autonomous systems.