Kay-Ulrich Scholl
FZI Research Center for Information Technology, Intel (Germany)
Papers
9
Total Citations
171
H-Index
5
About
Kay-Ulrich Scholl is a robotics researcher whose work spans autonomous inspection systems, intelligent robot control, and modern deployment infrastructure for robotic platforms. He is perhaps best known for his pioneering contributions to autonomous sewer inspection robotics, a niche but critically important domain of service robotics. His landmark 2002 paper, "Controlling a multi-joint robot for autonomous sewer inspection," garnered 92 citations and introduced a wireless, obstacle-navigating, multi-joint robot capable of independently traversing complex underground pipe networks — a significant leap beyond the tethered, single-link vehicles that dominated the field at the time. This foundational work was complemented by follow-up publications in 1999 and 2003, solidifying his reputation as a leading voice in articulated service robotics. Beyond inspection systems, Scholl has made contributions to machine learning for robot behavior acquisition, dynamic occupancy grid mapping for autonomous systems, and, more recently, human-robot collaboration safety through novel depth perception techniques. His later research reflects a forward-looking embrace of cloud and edge computing for scalable robotic deployment, demonstrated through projects like KubeROS. With a career spanning over two decades, Scholl's work bridges foundational service robotics with the demands of Industry 4.0 and modern autonomous systems.
Research Focus
Key Achievements
Top Papers
- 1Controlling a multi-joint robot for autonomous sewer inspection92 citations · 2002
- 2An articulated service robot for autonomous sewer inspection tasks30 citations · 2003
- 3A mechatronic concept for a sewer inspection robot16 citations · 1999
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- 6HistoDepth - Novel Depth Perception for Safe Collaborative Robots4 citations · 2023
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- 9Continuous Q-Learning Resource Allocation Network2 citations · 1998