Klaudius Werber

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About

Klaudius Werber is a researcher whose work bridges autonomous systems and human-robot collaboration, with a primary focus on advancing radar-based perception for self-driving vehicles. His most influential contribution, the 2015 paper "Automotive radar gridmap representations," has garnered 88 citations and introduced two novel grid-mapping algorithms that transform raw radar data into robust environmental representations. This work is critical for automotive self-localization, addressing the challenge of using radar—a sensor prized for its resilience in adverse weather—to create reliable spatial maps for autonomous navigation. Earlier in his career, Werber explored intuitive human-robot interaction through his 2011 thesis, which leveraged the Microsoft Kinect sensor for workspace surveillance and robot control as part of the ROSETTA project. Though less cited, this work demonstrated early foresight into how low-cost depth sensors could enable safer, more natural collaboration between humans and industrial robots. Together, these contributions highlight Werber’s dual impact: advancing the technical foundations of autonomous driving perception while also pioneering accessible interfaces for human-robot teamwork in manufacturing.