Research

Main research interests (not in a specific order):

  • Guidance, Navigation and Control for manned and unmanned vehicles
  • Vision based navigation and control systems
  • Haptic support systems for remote piloting and augmented guidance
  • Formation and swarming flight control for unmanned vehicles
  • Control systems, non-linear control, fuzzy and neural control
  • Embedded control technologies and virtual environments
  • Motion platform and simulation

A selection of recent research grants:

  • 2020-2023 Principal Investigator for University of Pisa of “SAIS – Next Generation Smart Active Inceptors System development for Tilt Rotor application” – funded under H2020 CleanSky 2 Programme.
  • 2019-2021 Principal Investigator for University of Pisa of  “SMARTER – Next Generation of SMARt Active Inceptor for Tilt Rotor Application” – funded under H2020 CleanSky 2 Programme. 
  • 2018-2020 Principal Investigator for University of Pisa of “SENSORNAUTA – SAPR Multi-Sensore a Ricarica e Navigazione Automatiche” – funded by Regione Toscana, POR CReO FESR 2014-2020 
  • 2017-2019 Principal Investigator of “Study for development of submarine robotic systems hybrid ROV/AUV” – SAIPEM SONSUB.
  • 2016-2017 Principal Investigator of “Preliminary feasibility study for Hydrone Control System” – funded by SAIPEM SONSUB.
  • 2015-2018 Principal Investigator for University of Pisa of  “Widely scalable Mobile Underwater Sonar Technology (WiMUST)” – funded under Horizon 2020 Framework Programme.
  • 2015-2016 Principal Investigator of “Control Software Improvement Feasibility Study” – funded by ENI – SAIPEM SONSUB.

Other currently ongoing activities:

This is a list of ongoing research activities, at various levels of development, that might be suited for thesis and exam projects:

  • Autonomous visually guided landing for rotorcraft.
  • Haptic devices and cueing algorithm design for manned and remotely piloted vehicles.
  • Real-time airborne GPS spoofing for security applications.
  • Ultra-Wide-Band (UWB) – Inertial localization.
  • LIDAR based obstacle detection and avoidance.
  • Advanced path planning for coverage missions in constrained airspace.
  • Vision-based unmanned aerial vehicle detection, tracking, and interception.
  • Sensorless and communication-less cooperative aerial load transportation.
  • Deep Neural Networks for Mission-level autonomous vehicle control.
  • Advanced mission management architectures for unmanned vehicles.
  • Vision-Based hovering for safe indoor operations

Università di Pisa
Lungarno Pacinotti 43, 56126 Pisa
P.I. 00286820501
C.F. 80003670504

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