Paolo ForteTitle: Doctoral Student, Marie Curie School/office: School of Science and Technology
Phone: +46 19 303000
About Paolo Forte
I am currently a Ph.D. Student in Computer Science at the Center for Applied Autonomous Sensor Systems. I got a bachelor’s degree in Mechanical Engineering at University of Calabria(UNICAL), Rende, Italy. My Bachelor’s thesis was focused on the analysis of innovative engines for airspace vehicles.
Upon completion of my bachelors, I moved to Pisa for my Masters. I am a graduate of Robotics and Automation Engineering at Università di Pisa (Italy). My master thesis was focused on developing an algorithm for Optimal Task Assignment in fleets of mobile robots, and explores issues related to the integration of (symbolic) AI search methods with (continuous) robot planning and coordination methods and it was carried out at Örebro University as an exchange student.
Through my degree courses, I have had the opportunity to develop my interest in robotics, improving my skills in mechanics and software design during my bachelor’s degree, and in control and development of different kinds of robots during my master’s degree. I have gained some experience with different software (e.g. MATLAB, ROS, ...) . I have developed my skills working with other people, mainly through three projects that required teamwork: the design and control of a 3 d.o.f arm robot from scratch; the development of a neural network that was able to recognize mass and calcification in mammographies; and finally a control system for a UAV.
My Ph.D. research topic is focused on material flow coordination and optimization in construction sites. More information can be found on the MORE website.
Articles in journals
- Forte, P. , Mannucci, A. , Andreasson, H. & Pecora, F. (2021). Online Task Assignment and Coordination in Multi-Robot Fleets. IEEE Robotics and Automation Letters, 6 (3), 4584-4591.
- Machado, T. , Fassbender, D. , Taheri, A. , Eriksson, D. , Gupta, H. , Molaei, A. , Forte, P. , Rai, P. & et al. (2021). Autonomous Heavy-Duty Mobile Machinery: A Multidisciplinary Collaborative Challenge. In: Proceedings of the IEEE ICTE Leading Digital Transformation in Business and Society Conference. Paper presented at 2021 IEEE International Conference on Technology and Entrepreneurship (ICTE 2021), Kaunas, Lithuania, August 24-27, 2021. IEEE.
- Forte, P. , Mannucci, A. , Andreasson, H. & Pecora, F. (2021). Construction Site Automation: Open Challenges for Planning and Robotics. In: Proceedings of the 9th ICAPS Workshop on Planning and Robotics (PlanRob). Paper presented at 9th ICAPS Workshop on Planning and Robotics (PlanRob), (Online Workshop), August 4-5, 2021.