Luca Ballotta
Papers
6
Total Citations
67
H-Index
5
About
Luca Ballotta is a rising leader in the field of networked autonomous systems, with research spanning the co-design of computation, communication, and control for multi-robot teams and sensor networks. His work addresses fundamental challenges in real-time estimation and coordination under practical constraints like limited bandwidth, communication delays, and sampled data. Ballotta’s major contributions include pioneering frameworks for computation-communication trade-offs, where he demonstrates how local processing at each node can reduce data transmission while preserving estimation accuracy—a concept with direct applications to edge computing and hardware-accelerated robotics. His D-Lite system, which compresses 3D scene graphs for efficient multi-robot collaboration, has garnered attention for enabling navigation-oriented data sharing in bandwidth-limited environments. With over 67 citations across his most influential works, Ballotta’s impact is evident in his ability to bridge theoretical optimization with real-world deployment. Notably, his recent work on safe distributed control in communication-degraded settings—such as underwater or extraterrestrial missions—highlights his commitment to robust, resilient autonomy. Ballotta’s research is essential reading for anyone interested in the future of scalable, communication-aware multi-agent systems.
Research Focus
Key Achievements
Top Papers
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- 6Competition-Based Resilience in Distributed Quadratic Optimization5 citations · 2022