Papers

3

Total Citations

243

H-Index

2

About

Justin Clark is a leading figure in the field of multi-robot systems and cooperative control, with a particular focus on biologically-inspired swarm intelligence. His most impactful work centers on the development of decentralized coordination algorithms for robotic sensors tasked with perimeter detection and tracking—a critical capability for applications in environmental monitoring, security, and disaster response. Clark’s seminal 2005 paper, "Cooperative hybrid control of robotic sensors for perimeter detection and tracking" (107 citations), introduced a groundbreaking decentralized algorithm that enables a robotic swarm to collaboratively locate and track a dynamic perimeter. By leveraging a cooperative communication scheme, the swarm rapidly detects the boundary, while a simple, reactive control law gives rise to emergent, collision-free cycling behavior. This work, along with his highly cited 2007 paper "Mobile robotic sensors for perimeter detection and tracking" (134 citations), has established foundational principles for distributed robotic coordination. Though his 2005 testbed paper (2 citations) is less cited, it provided a crucial experimental platform for validating these biologically-inspired control strategies. Clark’s research continues to influence the design of resilient, scalable multi-robot teams.

Research Focus

Key Achievements

2
H-Index
3
Papers
243
Total Citations
81
Avg Citations/Paper
🏆 Most Cited Paper
Mobile robotic sensors for perimeter detection and tracking
134 citations · 2007
📈 Most Prolific Year: 2005 (2 Papers)
🤝 Key Collaborators: 3
🏛 Institutions: Oklahoma State University, Oklahoma State University Oklahoma City

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago