Fabio Molinari

Papers

Total Citations

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About

Fabio Molinari is a rising researcher at the intersection of networked control systems, nonlinear dynamics, and multi-agent robotics. His work addresses fundamental challenges in real-world autonomy, from stabilizing inherently unstable robots to enabling scalable coordination among swarms. His most cited paper (12 citations) introduces a model-based networked controller for a two-wheeled inverted pendulum robot, a benchmark problem that demands robust stabilization over unreliable W-LAN communication—a critical step toward reliable telerobotics. In a 2020 study (5 citations), Molinari advances humanoid balance control by proving Lyapunov stability for the nonlinear DEC (Disturbance estimate and Compensation) model, a bio-inspired framework that mimics human posture control. This work bridges neuroscience and robotics, offering mathematically rigorous guarantees for disturbance rejection. Most recently (2024, 2 citations), he pioneers Over-the-Air Consensus (OtA-Consensus), a distributed method enabling collision avoidance and formation control in multi-agent systems without centralized coordination. By exploiting wireless communication for consensus, this approach promises scalable, communication-efficient swarms. Molinari’s contributions—spanning stability proofs, networked benchmarks, and distributed algorithms—demonstrate a rare ability to blend theory with practical robotic challenges, marking him as a researcher to watch in control and autonomous systems.