English
 
Help Privacy Policy Disclaimer
  Advanced SearchBrowse

Item

ITEM ACTIONSEXPORT
 
 
DownloadE-Mail
  Haptic Assistance for Helicopter Control Based on Pilot Intent Estimation

D'Intino, G., Olivari, M., Bülthoff, H., & Pollini, L. (2020). Haptic Assistance for Helicopter Control Based on Pilot Intent Estimation. Journal of Aerospace Information Systems, 17(4), 193-203. doi:10.2514/1.I010773.

Item is

Files

show Files

Locators

show
hide
Locator:
https://arc.aiaa.org/doi/10.2514/1.I010773 (Publisher version)
Description:
-
OA-Status:

Creators

show
hide
 Creators:
D'Intino, G1, 2, Author           
Olivari, M1, 2, Author           
Bülthoff, HH1, 2, Author           
Pollini, L, Author           
Affiliations:
1Department Human Perception, Cognition and Action, Max Planck Institute for Biological Cybernetics, Max Planck Society, ou_1497797              
2Max Planck Institute for Biological Cybernetics, Max Planck Society, ou_1497794              

Content

show
hide
Free keywords: -
 Abstract: Haptic support systems have been widely used for supporting human operators when performing a manual control task. These systems are commonly designed to track known target trajectories. However, the trajectory to track is not known in many realistic cases. For instance, the pilot-intended trajectory is not known beforehand when considering a helicopter pilot flying in free-flight. This paper proposes a possible approach to design a haptic shared control system when the target trajectory is not known a priori. Especially, the aim of the proposed design is to help minimally trained pilots during a 2-degree-of-freedom lateral/longitudinal helicopter free-flight task. To accomplish this goal, first, a Pilot Intent Estimator (PIE) is developed to infer pilot intent. Then, the corresponding intended trajectory is generated. Finally, a haptic feedback is designed to track the estimated intended trajectory. The designed PIE was evaluated in a preliminary test with an experienced helicopter pilot. Then, a human-in-the-loop experiment with minimally trained participants was conducted to assess the proposed shared control system. Results showed the effectiveness of the PIE to estimate the correct direction of motion chosen by the pilot. Furthermore, the haptic feedback helped participants to accomplish the control task with better task performance (i.e., lower tracking errors and lower amount of control activity) compared with manual control.

Details

show
hide
Language(s):
 Dates: 2020-012020-04
 Publication Status: Issued
 Pages: -
 Publishing info: -
 Table of Contents: -
 Rev. Type: -
 Identifiers: DOI: 10.2514/1.I010773
 Degree: -

Event

show

Legal Case

show

Project information

show

Source 1

show
hide
Title: Journal of Aerospace Information Systems
Source Genre: Journal
 Creator(s):
Affiliations:
Publ. Info: Reston, VA, USA : American Institute of Aeronautics and Astronautics
Pages: - Volume / Issue: 17 (4) Sequence Number: - Start / End Page: 193 - 203 Identifier: ISSN: 2327-3097