In the period 2016-2018, I worked on the TRADR EU project (EU FP7 ICT 609763), with a focus on perception, motion planning and control for UGVs. In particular, I was the leader of the TRADR work package WP4: Persistent models for multi-robot collaboration.
TRADR develops technology for human-robot teams to assist in disaster response efforts, over multiple missions: The novel challenge is how to make experience persistent. In the TRADR scenario, various kinds of robots collaborate with human team members to explore the environment, and gather physical samples. Throughout this collaborative effort, the team gradually develops its understanding of the disaster area over multiple possibly asynchronous missions (persistent environment models), to improve team members’ understanding of how to work in the area (persistent multi-robot action models), and to improve team-work (persistent human-robot teaming). The TRADR use cases involve response to a medium to large scale industrial accident by teams consisting of human rescuers and several robots (both ground and airborne).
Forza NEC UAVs
During my experience in Selex ES MUAS (now Leonardo) I designed and developed real-time computer vision and visual servoing applications for the systems CREX-B, ASIOB, SPYBALL-B. My Team obtained the Military Type Certificate for those systems according to AER.P-2 regulation. In 2011 I won with part of my Team the SELEX Galileo Innovation Awards for the UAS CREX-B. See more on my linkedin profile.
The LYRA programme represents an important evolution of the European VEGA launcher. During my experience in UTRI I developed with my Team a trajectory control for the LYRA launch vehicle by using innovative synthesized auto-scheduled algorithms.
The main goal of the PHRIENDS programme was the development of key components of the next generation of robots, including industrial robots and assist devices, designed to share the environment and to physically interact with people. During my research period at the DIS Robotics Lab I developed a sensor-based exploration method for general robotic systems equipped with multiple sensor. See this page for more details about my contribution.