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A Pilot Intent Estimator for Haptic Support Systems in Helicopter Maneuvering Tasks

MPS-Authors
/persons/resource/persons214575

D'Intino,  G
Department Human Perception, Cognition and Action, Max Planck Institute for Biological Cybernetics, Max Planck Society;
Project group: Cybernetics Approach to Perception & Action, Max Planck Institute for Biological Cybernetics, Max Planck Society;
Max Planck Institute for Biological Cybernetics, Max Planck Society;

/persons/resource/persons192609

Olivari,  M
Max Planck Institute for Biological Cybernetics, Max Planck Society;
Department Human Perception, Cognition and Action, Max Planck Institute for Biological Cybernetics, Max Planck Society;
Project group: Cybernetics Approach to Perception & Action, Max Planck Institute for Biological Cybernetics, Max Planck Society;
Project group: Motion Perception & Simulation, Max Planck Institute for Biological Cybernetics, Max Planck Society;

/persons/resource/persons133474

Geluardi,  S
Department Human Perception, Cognition and Action, Max Planck Institute for Biological Cybernetics, Max Planck Society;
Project group: Cybernetics Approach to Perception & Action, Max Planck Institute for Biological Cybernetics, Max Planck Society;
Max Planck Institute for Biological Cybernetics, Max Planck Society;

/persons/resource/persons216492

Fabbroni,  D
Department Human Perception, Cognition and Action, Max Planck Institute for Biological Cybernetics, Max Planck Society;
Max Planck Institute for Biological Cybernetics, Max Planck Society;

/persons/resource/persons83839

Bülthoff,  HH
Department Human Perception, Cognition and Action, Max Planck Institute for Biological Cybernetics, Max Planck Society;
Project group: Cybernetics Approach to Perception & Action, Max Planck Institute for Biological Cybernetics, Max Planck Society;
Max Planck Institute for Biological Cybernetics, Max Planck Society;

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Citation

D'Intino, G., Olivari, M., Geluardi, S., Fabbroni, D., Bülthoff, H., & Pollini, L. (2018). A Pilot Intent Estimator for Haptic Support Systems in Helicopter Maneuvering Tasks. In 2018 AIAA Modeling and Simulation Technologies Conference (pp. 132-140). Red Hook, NY, USA: Curran.


Cite as: https://hdl.handle.net/21.11116/0000-0001-7D60-7
Abstract
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.