Hannes Harms

Karlsruhe Institute of Technology, Technische Universität Braunschweig

Papers

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About

Hannes Harms is a robotics researcher whose work focuses on environment perception and multi-robot systems, with a particular emphasis on enabling robots to navigate complex, multi-level environments. His most notable contribution is the development of a stereo vision-based stair detection algorithm (2015), which addresses a critical challenge in robotic navigation—identifying and ascending stairs using range data. This work, cited 32 times, has implications for service robots, search-and-rescue operations, and autonomous systems operating in human-centric spaces. Harms also contributed to the design of an adaptable communication layer with Quality of Service (QoS) capabilities for multi-robot systems (2017), facilitating reliable coordination among robot teams. His research bridges perception and communication, enhancing robots' ability to operate autonomously in dynamic, unstructured settings. By tackling fundamental perception tasks like stair detection, Harms has laid groundwork for more capable and versatile robotic platforms, making his work valuable for students and researchers interested in computer vision, autonomous navigation, and multi-agent systems.