Mark Paulik
Papers
17
Total Citations
181
H-Index
7
About
Mark Paulik is a professor of Electrical and Computer Engineering at the University of Detroit Mercy, whose work spans two deeply interconnected domains: engineering education and autonomous mobile robotics. His most influential contribution — a competition-motivated capstone design course refined over fifteen years — has garnered 56 citations and stands as a landmark model for project-based learning, demonstrating how real-world robotics competitions can drive rigorous undergraduate engineering education. This pedagogical philosophy directly fueled his technical research, as student teams competing in the Intelligent Ground Vehicle Competition (IGVC) became the crucible for numerous algorithmic innovations. On the technical side, Paulik has made significant contributions to autonomous robot navigation, including an enhanced Delaunay Triangulation-based path planning algorithm (25 citations), biologically-motivated neural network navigation strategies (19 citations), and wavefront-based mapping approaches. His 2021 work on robot platooning for search-and-rescue operations (17 citations) reflects an evolution toward multi-robot coordination in high-stakes environments. Across his body of work, Paulik exemplifies the rare educator-researcher who transforms classroom competition into publishable science, producing graduates and knowledge simultaneously — a model increasingly recognized as essential to modern engineering pedagogy.
Research Focus
Key Achievements
Top Papers
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- 4Robot Platooning Strategy for Search and Rescue Operations17 citations · 2021
- 5An autonomous ground vehicle competition-driven capstone design course11 citations · 2003
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- 7Occupancy Grid Map Merging using Feature Maps9 citations · 2010
- 8Map-based lane identification and prediction for autonomous vehicles6 citations · 2014
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