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About

Filippo Bertoncelli is a robotics researcher whose work focuses on multi-robot manipulation, non-prehensile object pushing, and autonomous coordination under real-world constraints. His major contributions lie in developing optimization-driven methods for robotic pushing tasks, where he has proposed novel indices to characterize grasp configurations and task-oriented contact optimization to minimize effort during object transport. Bertoncelli has also advanced wheel slip avoidance in mobile robots through nonlinear model predictive control, addressing a critical issue that degrades performance in practical applications. His recent work on directed graph topology preservation using control barrier functions tackles the challenge of maintaining multi-robot formations with limited field of view and no inter-robot communication—a significant step toward scalable, communication-free coordination. With papers published from 2019 to 2024, his research has garnered citations in the single digits per paper, reflecting an emerging but focused impact. Notably, his studies on limited-range coverage control for large-scale aerial drone teams demonstrate his expanding interest in swarm coordination. Bertoncelli’s work is particularly relevant for students and researchers in robotics, control systems, and multi-agent systems, offering practical solutions for manipulation and coordination in constrained environments.