Papers
6
Total Citations
35
H-Index
3
About
Sebastian Wagner is a robotics researcher focused on the safe and efficient coordination of autonomous vehicles, with a particular emphasis on multi-robot trajectory planning and automated trucking. His work tackles the fundamental challenge of enabling multiple complex vehicles—including articulated trucks—to navigate shared spaces without collision. Wagner’s major contributions include developing prioritized planning methods for spatiotemporal trajectory coordination, where velocity profiles are sequentially computed to avoid dynamic obstacles. His 2020 paper on “Prioritized Multi-Robot Velocity Planning” (10 citations) extends this technique to arbitrarily complex vehicle structures, while his SAFESTOP framework (5 citations) addresses how multi-robot systems can handle disturbances during execution. Wagner also contributed practical tools for the field, including a simple yet effective path tracking controller for autonomous trucks (13 citations) implemented in ROS, developed as part of the AutoTruck project automating an 18-ton truck for yard applications. His more recent work explores deadlock-free execution under delays and the broader impact of automated vehicles on mixed traffic. With a growing citation record and a focus on both theoretical coordination algorithms and real-world deployment, Wagner’s research bridges the gap between multi-robot planning theory and practical autonomous vehicle systems.
Research Focus
Key Achievements
Top Papers
- 1A simple yet efficient Path Tracking Controller for Autonomous Trucks13 citations · 2019
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- 5Quantifying the Impact of Automated Vehicles on Traffic2 citations · 2023
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