Niklas Bastuck

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About

Niklas Bastuck is a leading researcher in autonomous systems and high-speed robotics, with a focus on pushing the boundaries of real-time decision-making and perception. His most notable contribution is the **ForzaETH Race Stack**, a groundbreaking full-stack solution for scaled autonomous head-to-head racing, designed to operate on fully commercial off-the-shelf hardware. This work, published in 2024 and already garnering 19 citations, demonstrates that complex, high-speed racing dynamics can be achieved without custom hardware, making autonomous racing more accessible and reproducible for the research community. Bastuck’s work directly addresses the challenges of reliability and real-time control under extreme conditions. In his 2025 paper on **Planar Velocity Estimation for Fast-Moving Mobile Robots Using Event-Based Optical Flow**, he tackles a critical limitation in mobile robotics—accurate velocity estimation without relying on restrictive assumptions like non-slip conditions. By fusing event-based optical flow with traditional odometry, he offers a robust alternative for driver assistance and autonomous driving. Bastuck’s research is pivotal for advancing agile, perception-driven robotics, bridging the gap between theoretical control and practical, high-speed deployment.