Papers
3
Total Citations
46
H-Index
2
About
Reyk Carstens is a robotics researcher whose work centers on autonomous mobile robot navigation, dynamic obstacle avoidance, and benchmarking frameworks for learning-based systems. His most significant contribution is the development of the Arena-Bench suite, a comprehensive benchmarking platform designed to rigorously evaluate obstacle avoidance approaches in highly dynamic environments. Published in 2022 and accumulating 38 citations, this work addressed a critical gap in the field by providing standardized evaluation tools for deep reinforcement learning (DRL)-based navigation methods, which had previously been tested in isolated, incomparable simulation environments. Building on this foundation, Carstens co-developed Arena-Rosnav 2.0, a substantially restructured and expanded platform offering richer modules for both developing and benchmarking robotic navigation approaches, further cementing the Arena ecosystem as a go-to resource in the community. His most recent contribution, Arena-Web, democratizes access to these tools through a web-based interface, lowering barriers for researchers and practitioners unfamiliar with complex simulation pipelines. Across his publications, Carstens demonstrates a consistent commitment to making advanced robot navigation research more reproducible, accessible, and practically meaningful — contributions increasingly vital as autonomous systems move into real-world domains like healthcare and logistics.
Research Focus
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Top Papers
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