Jonathan Diller

Papers

Total Citations

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About

Jonathan Diller is a robotics researcher focused on resilient multi-robot systems operating under real-world constraints. His work centers on three key challenges: communication-aware navigation, failure-tolerant task allocation, and simulation-driven algorithm validation. Diller’s most cited paper, "Communication Jamming-Aware Robot Path Adaptation" (2023, 4 citations), addresses a critical vulnerability in robot networks by developing path-planning strategies that maintain connectivity in the presence of adversarial jamming or radio frequency interference. He further advances team coordination with "Failure-Aware Tasking for Teams of Drones" (2025, 1 citation), which accounts for stochastic failures in dynamic environments like forest fire monitoring and disaster response. Diller also pioneers the use of large language models for generating realistic simulation inputs—demonstrated in his 2024 work (2 citations)—to bridge the gap between simulated and real-world algorithm performance. His contributions to communication mapping for robot teams (2025, 1 citation) provide frameworks for predicting network quality before deployment. With a growing citation record and a focus on practical robustness, Diller is shaping how autonomous teams operate reliably in unpredictable, communication-constrained environments.