Alberto Quattrini Li

Assistant Professor
Academic Appointments

Assistant Professor of Computer Science

My research activity covers the fields of autonomous mobile robotics and multiagent systems. In particular, one of the main research thrusts involves the study, development, and assessment of techniques for autonomous decision-making in the exploration problem, where one or more robots are employed to discover features of environments—e.g., obstacles, water quality. The testing of our algorithms focus directly upon real robots, such as ground robots and/or marine robots. The long-term goal is to design ubiquitous collaborative multirobot systems operating in real world environments to enable applications, such as environmental monitoring and mapping.

203 Sudikoff Lab
HB 6211
Computer Science
B.Sc. Computer Science and Engineering, Universita di Pisa, 2009
M.Sc. Computer Science and Engineering, Politecnico di Milano, 2011
Ph. D. Computer Science and Engineering, Politecnico di Milano, 2015

Selected Publications

M. Roznere and A. Quattrini Li, "Underwater monocular depth estimation using single-beam echo sounder," in Proceedings of the IEEE International Conference on Intelligent Robots and Systems (IROS), 2020.

M. Jeong and A. Quattrini Li, "Risk Vector-based Near miss and Real-time Obstacle Avoidance for Autonomous Surface Vehicles," in Proceedings of the IEEE International Conference on Intelligent Robots and Systems (IROS), 2020.

A. Quattrini Li, P. K. Penumarthi, J. Banfi, N. Basilico, J. O’Kane, I. Rekleitis, S. Nelakuditi, and F. Amigoni, "Multi-robot Online Sensing Strategies for the Construction of Communication Maps," Autonomous Robots,1–21. 2019.

J. Banfi, A. Quattrini Li, I. Rekleitis, F. Amigoni, and N. Basilico, “Strategies for coordinated multirobot exploration with recurrent connectivity constraints,” Autonomous Robots, vol. 42, pp. 875–894, 2018.

S. Manjanna, A. Quattrini Li, R. N. Smith, I. Rekleitis, and G. Dudek, “Heterogeneous multirobot system for exploration and strategic water sampling,” in Proceedings of the IEEE International Conference on Robotics and Automation (ICRA), 2018.

A. Quattrini Li, R. Fioratto, F. Amigoni, and V. Isler, “A search-based approach to solve pursuit-evasion games with limited visibility in polygonal environments,” in Proceedings of the International Conference on Autonomous & Multiagent Systems (AAMAS), 2018.

A. Quattrini Li, R. Cipolleschi, M. Giusto, and F. Amigoni, “A semantically-informed multirobot system for exploration of relevant areas in search and rescue settings,” Autonomous Robots, vol. 40, no. 4, pp. 581–597, 2016.

A. Quattrini Li, M. Xanthidis, J. M. O’Kane, and I. Rekleitis, “Active localization with dynamic obstacles,” in Proceedings of the IEEE/RSJ International Conference on Intelligent Robotics Systems (IROS), 2016, pp. 1902–1909.