A pilot intent estimator for haptic support systems in helicopter maneuvering tasks

Giulia D’Intino, Mario Olivari, Stefano Geluardi, Davide Fabbroni, Heinrich Bulthoff, Lorenzo Pollini

Research output: Chapter in Book/Report/Conference proceedingConference contribution

5 Citations (Scopus)


Haptic support systems are commonly designed as feedback systems that track a known trajectory. However, when a pilot performs a maneuver in a free airspace, the desired trajectory is not known a priori. Thus, an estimation of the pilot intended trajectory is needed. This paper investigates the estimation of the pilot desired trajectory for designing a haptic support system that helps pilots perform helicopter maneuvers in a free airspace. A probabilistic algorithm is implemented to estimate the pilot intended trajectory according to the actions made on the control devices. The haptic aid is developed as a feedback controller able to follow the estimated intended trajectory. Two simulations were conducted to test the effectiveness of the proposed algorithm. First, filtered step-wise pilot control inputs were considered. Then, real pilot inputs were employed, which were recorded in a lateral reposition maneuver performed on a motion simulator. The developed algorithm was able to recognize the intended path according to the given pilot inputs in both scenarios.

Original languageEnglish
Title of host publicationAIAA Modeling and Simulation Technologies
PublisherAmerican Institute of Aeronautics and Astronautics Inc, AIAA
ISBN (Print)9781624105289
Publication statusPublished - 2018 Jan 1
Externally publishedYes
EventAIAA Modeling and Simulation Technologies Conference, 2018 - Kissimmee, United States
Duration: 2018 Jan 82018 Jan 12


OtherAIAA Modeling and Simulation Technologies Conference, 2018
CountryUnited States

ASJC Scopus subject areas

  • Modelling and Simulation
  • Aerospace Engineering

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