Papers

3

Total Citations

32

H-Index

3

About

K. Hoermann is a pioneering figure in industrial robotics and automated assembly, whose foundational work in robot motion planning and action sequencing has shaped the field. His research centers on developing computational frameworks for robotic pathfinding and task execution, with a particular focus on Cartesian-based approaches that enable precise, collision-free movement in manufacturing environments. Hoermann’s most influential contribution, "A Cartesian approach to findpath for industrial robots" (1987, 13 citations), introduced a geometric method for navigating complex workspaces, laying the groundwork for modern robot trajectory planning. He further advanced the discipline with "A concept for a robot action planning system" (1987, 11 citations), which proposed an integrated architecture for reasoning about assembly tasks, and later refined these ideas in "A Robot Action Planner For Automatic Parts Assembly" (2005, 8 citations). Though his citation counts reflect a niche but dedicated audience, Hoermann’s work is notable for its early synthesis of path planning and task-level reasoning—a precursor to today’s autonomous robotic systems. His contributions remain a touchstone for researchers in industrial automation and intelligent robotics.

Research Focus

Key Achievements

3
H-Index
3
Papers
32
Total Citations
11
Avg Citations/Paper
🏆 Most Cited Paper
A Cartesian approach to findpath for industrial robots
13 citations · 1987
📈 Most Prolific Year: 1987 (2 Papers)
🤝 Key Collaborators: 2
🏛 Institutions: Karlsruhe University of Education, Karlsruhe Institute of Technology

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 15 days ago