Kun Deng

University of Illinois Urbana-Champaign

Papers

2

Total Citations

34

H-Index

2

About

Kun Deng’s research lies at the intersection of robotics, control theory, and formal methods, with a focus on multi-agent systems operating under uncertainty. His major contributions center on developing approximate dynamic programming approaches for persistent monitoring tasks, where teams of robots must satisfy complex temporal logic constraints in stochastic environments. Deng’s work addresses the fundamental challenge of generating optimal control policies that ensure mission-critical properties—such as repeatedly satisfying certain propositions—while accounting for probabilistic behaviors in the environment. His most cited paper (2017, 29 citations) extends this framework to multiagent settings with temporal logic specifications, demonstrating how robots can achieve optimal surveillance despite environmental randomness. This work builds on his earlier foundational paper (2012, 5 citations) that first formalized the problem of multi-agent persistent monitoring with temporal logic constraints. Deng’s contributions are particularly notable for bridging the gap between formal verification and practical robotics, enabling provably correct behavior in uncertain domains. His research has significant implications for applications ranging from environmental monitoring to search-and-rescue operations, where teams of autonomous agents must maintain persistent, reliable performance under real-world stochastic conditions.

Research Focus

Key Achievements

2
H-Index
2
Papers
34
Total Citations
17
Avg Citations/Paper
🏆 Most Cited Paper
An Approximate Dynamic Programming Approach to Multiagent Persistent Monitoring in Stochastic Environments With Temporal Logic Constraints
29 citations · 2017
📈 Most Prolific Year: 2017 (1 Papers)
🤝 Key Collaborators: 2
🏛 Institutions: University of Illinois Urbana-Champaign

Top Papers

  1. 1
  2. 2

Key Collaborators

Contact & Links

Available for collaboration
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