G
Giorgio Guglieri
Researcher at Polytechnic University of Turin
Publications - 171
Citations - 1694
Giorgio Guglieri is an academic researcher from Polytechnic University of Turin. The author has contributed to research in topics: Computer science & Engineering. The author has an hindex of 18, co-authored 147 publications receiving 1293 citations. Previous affiliations of Giorgio Guglieri include University of Turin & National Research Council.
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Path Planning Strategies for UAVS in 3D Environments
TL;DR: In this paper, a Matlab-based path planning tool was developed, collecting four separate approaches: geometric predefined trajectories, manual waypoint definition, automatic waypoint distribution, and a comprehensive A*-based algorithm used to generate paths, minimizing risk of collision with orographic obstacles.
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A Risk-Aware Path Planning Strategy for UAVs in Urban Environments
TL;DR: A novel algorithm called Borderland is proposed, which uses the check and repair approach to rapidly identify and adjust only the portion of path involved by the inception of relevant dynamical changes in the risk factor, which aims at minimizing the risk.
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A Minimum Risk Approach for Path Planning of UAVs
TL;DR: Two approaches to path planning in presence of orographic obstacles are detailed, one based on the same risk map, but optimizing polynomial curves with a genetic algorithm, which produces a flyable waypoints sequence.
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Design and Development of Guidance Navigation and Control Algorithms for Spacecraft Rendezvous and Docking Experimentation
TL;DR: In this article, the authors present the design of the GNC system of a ground testbed for spacecraft rendezvous and docking experiments, which consists of a flat floor and two scaled vehicles, one active chaser and one semi-active target.
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Tube-based robust model predictive control for spacecraft proximity operations in the presence of persistent disturbance
TL;DR: Two different Model Predictive Control schemes have been considered to control the spacecraft during the final phase of the rendezvous maneuver in order to ensure mission constraints satisfaction for any modeled disturbance affecting the system.