Papers

6

Total Citations

169

H-Index

5

About

J. U. Kuehnle is a leading researcher in mobile service robotics and industrial automation, with a focus on enabling robots to operate reliably in unstructured, human-centered environments. Their core contributions lie in 6D object localization, real-time obstacle detection, and collision-free manipulation—critical technologies for bringing service robots out of structured labs and into everyday life. Kuehnle’s most cited work, "Multi-sensor measurement system for robotic drilling" (89 citations), demonstrates their expertise in integrating sensor data for precise industrial tasks. Their foundational 2009 paper on 6D object localization and obstacle detection (36 citations) introduced approaches that allow mobile robots to recognize and grasp objects safely in dynamic settings, while their 2008 work on grasping in depth maps from time-of-flight cameras (18 citations) advanced perception for manipulation. Kuehnle also developed a real-time 3D environment model for obstacle avoidance, fully integrated into the DESIRE experimental platform, showcasing robust, practical system design. By bridging the gap between perception and action, Kuehnle’s research has been instrumental in making service robots more autonomous, safe, and capable—paving the way for their deployment in homes, hospitals, and factories.

Research Focus

Key Achievements

5
H-Index
6
Papers
169
Total Citations
28
Avg Citations/Paper
🏆 Most Cited Paper
Multi-sensor measurement system for robotic drilling
89 citations · 2017
📈 Most Prolific Year: 2008 (3 Papers)
🤝 Key Collaborators: 15
🏛 Institutions: Fraunhofer Institute for Manufacturing Engineering and Automation

Top Papers

  1. 1
  2. 2
    6D object localization and obstacle detection for collision-free manipulation with a mobile service robot
    36 citations · 2009
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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 15 days ago