Experiments of direct and Indirect Haptic Aiding for remotely piloted vehicles with a mixed wind gust rejection/obstacle avoidance task

Samantha M.C. Alaimo, Lorenzo Pollinit, Jean Pierre Bresciani, Heinrich H. Buelthoff

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

4 Citations (Scopus)

Abstract

This paper focuses on a novel concept of haptic cueing developed in order to optimize the performance of an Unmanned Aerial Vehicle (UAV) teleoperator and to improve the human-machine interfaces in a mixed obstacle avoidance/wind gust rejection task. It presents an experimental evaluation of two different Haptic aiding concepts: one based on what we called Direct Haptic Aiding (DHA) approach, and a novel one based on the Indirect Haptic Aiding (IHA) approach. The two haptic aids were compared with a baseline condition in which no haptic force was associated to the obstacles (NoEF condition). It will be shown that IHA-based approach definitely improves the pilots' performance with respect to the other approaches. A significant difference in performance (i.e. the number of collisions) was noticed between IHA and both DHA and NoEF conditions. The goal of this paper is to show that the IHA philosophy is a valid alternative to the other commonly used, and published in the scientific literature, approaches which fall in the DHA category.

Original languageEnglish
Title of host publicationAIAA Modeling and Simulation Technologies Conference 2011
PublisherAmerican Institute of Aeronautics and Astronautics Inc.
Pages1-18
Number of pages18
ISBN (Print)9781624101540
DOIs
Publication statusPublished - 2011
EventAIAA Modeling and Simulation Technologies Conference 2011 - Portland, OR, United States
Duration: 2011 Aug 82011 Aug 11

Publication series

NameAIAA Modeling and Simulation Technologies Conference 2011

Other

OtherAIAA Modeling and Simulation Technologies Conference 2011
CountryUnited States
CityPortland, OR
Period11/8/811/8/11

ASJC Scopus subject areas

  • Aerospace Engineering
  • Modelling and Simulation

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