Papers

11

Total Citations

157

H-Index

6

About

Theodore P. Pavlic is a researcher whose work sits at a compelling intersection of biological systems, swarm intelligence, and multi-robot coordination. Drawing inspiration from nature — particularly the collective behaviors of desert ants — Pavlic has made significant contributions to the design of decentralized control strategies for robotic swarms. His most-cited work, "Design of ant-inspired stochastic control policies for collective transport by robotic swarms" (2014, 64 citations), exemplifies his signature approach: translating the emergent coordination seen in ant colonies into mathematically rigorous, scalable algorithms for autonomous robot teams. Complementary studies on stochastic hybrid system models and enzyme-inspired boundary allocation further demonstrate his ability to bridge biology and engineering with formal precision. Beyond swarm robotics, Pavlic has invested meaningfully in engineering education, contributing to Ohio State University's first-year retention initiative through hands-on autonomous robot design courses — work that has resonated broadly with educators (24 citations). His more recent research explores how multi-robot teams can achieve long-range situational awareness without explicit communication, essentially externalizing computation into the physical environment itself. Across his portfolio, Pavlic consistently pursues a unifying vision: robust, bio-inspired intelligence emerging from simple, local interactions at scale.

Research Focus

Key Achievements

6
H-Index
11
Papers
157
Total Citations
14
Avg Citations/Paper
🏆 Most Cited Paper
Design of ant-inspired stochastic control policies for collective transport by robotic swarms
64 citations · 2014
📈 Most Prolific Year: 2020 (3 Papers)
🤝 Key Collaborators: 26
🏛 Institutions: Arizona State University, The Ohio State University, Decision Systems (United States)

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago