Janno Lunenburg
Papers
6
Total Citations
60
H-Index
5
About
Janno Lunenburg’s research lies at the intersection of mobile robotics, motion planning, and safe autonomous navigation, with a particular focus on domestic service robots. His most influential work, “Motion Planning for Mobile Robots: A Method for the Selection of a Combination of Motion-Planning Algorithms” (21 citations), addresses a critical gap in robotics literature by providing a systematic framework for selecting and combining algorithms that handle both environment representation and path search. Lunenburg also made significant contributions to safe navigation through his development of a three-dimensional volumetric representation based on the OctoMap framework, which probabilistically fuses sensor data to compute collision probabilities—enabling robots to operate safely in cluttered home environments (two papers, 11 and 9 citations). His work on minimizing inverse kinematics iterations for mobile base manipulation (5 citations) advanced the efficiency of object manipulation in domestic settings. Beyond his publications, Lunenburg was a key member of the Tech United Eindhoven team, winning the @Home 2019 championship, and contributed to open-source robotics through the Robotic Open Platform (ROP, 10 citations). His research continues to shape how robots perceive, plan, and act in human-centered spaces.
Research Focus
Key Achievements
Top Papers
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- 3Sharing Open Hardware through ROP, the Robotic Open Platform10 citations · 2014
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- 6Tech United Eindhoven @Home 2019 Champions Paper4 citations · 2019