Peter Plapper
University of Luxembourg, Recherches Scientifiques Luxembourg
Papers
33
Total Citations
549
H-Index
12
About
Peter Plapper is a prominent researcher in robotics, automation, and smart manufacturing, whose work sits at the intersection of Industry 4.0 technologies and intelligent robotic systems. Based at the University of Luxembourg, Plapper has made foundational contributions to force-guided robotic assembly, human-robot collaboration, and contact-state modeling. His highly cited 2022 paper on Digital Twins for human-robot interactions (106 citations) exemplifies his forward-looking approach, demonstrating how emerging technologies can transform collaborative manufacturing environments. A recurring theme throughout his research is the challenge of position uncertainty in robotic assembly; his 2014 work on peg-in-hole tasks (77 citations) introduced novel strategies for hole identification that significantly improved assembly reliability and efficiency. Plapper's extensive use of probabilistic and machine learning methods — particularly Gaussian Mixture Models and fuzzy logic — for contact-state recognition has established a rigorous theoretical framework that underpins modern compliant robot control. His contributions extend to vision-assisted robotics, augmented reality in industrial settings, and intelligent disassembly systems, reflecting a broad and cohesive research vision aimed at making automation smarter, safer, and more accessible to small and medium-sized enterprises worldwide.
Research Focus
Key Achievements
Top Papers
- 1
- 2Position Identification in Force-Guided Robotic Peg-in-Hole Assembly Tasks77 citations · 2014
- 3
- 4Safe and Automated Assembly Process using Vision Assisted Robot Manipulator41 citations · 2016
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- 7Survey: The Evolution of the Usage of Augmented Reality in Industry 4.020 citations · 2019
- 8
- 9An Intelligent Agent-Controlled and Robot-Based Disassembly Assistant16 citations · 2017
- 10