Giancarlo Allasia

Research Fellow at Future Aircraft Technologies, Autonomy & HMI Research Unit
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  • MSc in Mechatronics Engineering (BSc in Electronics Engineering) at Politecnico di Torino, with focus on Control Theory and Robotics. In my MSc thesis, carried out in Denver (CO, USA), I developed an obstacle avoidance strategy for multirotor autonomous vehicle based on bio-inspired computer vision techniques (optical flow).

  • In the Autonomy & HMI Research Unit of Aircraft Division in Turin, I work on MUM-T systems (Manned Unmanned Teaming) in order to support the development of project Tempest, the sixth generation fighter jet, in the definition and implementation of cooperative autonomy’s logics and pilot’s involvement in the decisions taken by loyal wingmen team.

  • G. Allasia, A. Rizzo and K. Valavanis, "Quadrotor UAV 3D Path Planning with Optical-Flow-based Obstacle Avoidance," 2021 International Conference on Unmanned Aircraft Systems (ICUAS), 2021, pp. 1029-1036, doi: 10.1109/ICUAS51884.2021.9476762.

  • 2021 International Conference on Unmanned Aircraft Systems (ICUAS), 2021

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