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Authors: Jan Tožička ; David Šišlákand and Michal Pěchouček

Affiliation: Czech Technical University in Prague, Czech Republic

Keyword(s): Trajectory Planning, UAV, Human-machine Interface.

Related Ontology Subjects/Areas/Topics: Agents ; Artificial Intelligence ; Enterprise Information Systems ; Human-Computer Interaction ; Intelligent User Interfaces ; Robot and Multi-Robot Systems

Abstract: Unmanned aerial vehicles (UAVs) are more and more often used to solve different tasks in both the private and the public sector. Some of these tasks can often be performed completely autonomously while others are still dependent on remote pilots. They control an UAV using a command display where they can control it manually using joysticks or give it a simple task. The command display allow for the planning of the UAV trajectory through waypoints while avoiding no-fly zones. Nevertheless, the operator can be aware of other preferences or soft restrictions for which it’s not feasible to be inserted into the system especially during time critical tasks. We propose to provide the operator with several different alternative trajectories, so he can choose the best one for the current situation. In this contribution we propose several metrics to measure the diversity of the trajectories. Then we explore several algorithms for the alternative trajectories creation. Experimental results in t wo grid domains show how the proposed algorithms perform. (More)

CC BY-NC-ND 4.0

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Paper citation in several formats:
Tožička, J.; Šišlákand, D. and Pěchouček, M. (2013). Planning of Diverse Trajectories. In Proceedings of the 5th International Conference on Agents and Artificial Intelligence - Volume 2: ICAART; ISBN 978-989-8565-39-6; ISSN 2184-433X, SciTePress, pages 120-129. DOI: 10.5220/0004254601200129

@conference{icaart13,
author={Jan Tožička. and David Šišlákand. and Michal Pěchouček.},
title={Planning of Diverse Trajectories},
booktitle={Proceedings of the 5th International Conference on Agents and Artificial Intelligence - Volume 2: ICAART},
year={2013},
pages={120-129},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0004254601200129},
isbn={978-989-8565-39-6},
issn={2184-433X},
}

TY - CONF

JO - Proceedings of the 5th International Conference on Agents and Artificial Intelligence - Volume 2: ICAART
TI - Planning of Diverse Trajectories
SN - 978-989-8565-39-6
IS - 2184-433X
AU - Tožička, J.
AU - Šišlákand, D.
AU - Pěchouček, M.
PY - 2013
SP - 120
EP - 129
DO - 10.5220/0004254601200129
PB - SciTePress

- Science and Technology Publications, Lda.
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