Papers

11

Total Citations

832

H-Index

10

About

Paul Glotfelter is a robotics and control systems researcher whose work sits at the intersection of multi-robot systems, safety-critical control, and distributed autonomy. He is perhaps best known for his foundational contributions to nonsmooth barrier functions — mathematical tools that enable robotic systems to provably satisfy multiple simultaneous constraints such as collision avoidance, speed regulation, and connectivity maintenance. His 2017 paper on nonsmooth barrier functions has accumulated over 300 citations, establishing it as a landmark reference in the field, while subsequent work on hybrid and composable barrier functions extended these ideas to increasingly complex, real-world scenarios. Equally significant is Glotfelter's role in the development of the Robotarium, a remotely accessible multi-robot research testbed at Georgia Tech that has democratized swarm robotics research by offering free, physical experimentation to researchers worldwide. This platform-building effort, reflected across multiple highly cited publications totaling hundreds of citations, has had broad infrastructural impact on the research community. His later work on data-driven robust barrier functions addresses long-term autonomous operation under uncertainty, pushing the frontier toward resilient, adaptive robotic systems. Across his career, Glotfelter has consistently bridged rigorous control theory with accessible, impactful experimental platforms.

Research Focus

Key Achievements

10
H-Index
11
Papers
832
Total Citations
76
Avg Citations/Paper
🏆 Most Cited Paper
Nonsmooth Barrier Functions With Applications to Multi-Robot Systems
303 citations · 2017
📈 Most Prolific Year: 2017 (3 Papers)
🤝 Key Collaborators: 18
🏛 Institutions: Georgia Institute of Technology, York College of Pennsylvania

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
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