Developing a Distributed Drone Delivery System with a Hybrid Behavior Planning System

Abstract

The demand for fast and reliable parcel shipping is globally rising. Conventional delivery by land requires good infrastructure and causes high costs, especially on the last mile. We present a distributed and scalable drone delivery system based on the contract net protocol for task allocation and the ROS hybrid behaviour planner (RHBP) for goal-oriented task execution. The solution is tested on a modified multi-agent systems simulation platform (MASSIM). Within this environment, the solution scales up well and is profitable across different configurations.

@InProceedings{Krakowczyk2018Developing,
author="Krakowczyk, Daniel
and Wolff, Jannik
and Ciobanu, Alexandru
and Meyer, Dennis Julian
and Hrabia, Christopher-Eyk",
editor="Trollmann, Frank
and Turhan, Anni-Yasmin",
title="Developing a Distributed Drone Delivery System with a Hybrid Behavior Planning System",
booktitle="KI 2018: Advances in Artificial Intelligence",
year="2018",
publisher="Springer International Publishing",
address="Cham",
pages="107--114",
abstract="The demand for fast and reliable parcel shipping is globally rising. Conventional delivery by land requires good infrastructure and causes high costs, especially on the last mile. We present a distributed and scalable drone delivery system based on the contract net protocol for task allocation and the ROS hybrid behaviour planner (RHBP) for goal-oriented task execution. The solution is tested on a modified multi-agent systems simulation platform (MASSIM). Within this environment, the solution scales up well and is profitable across different configurations.",
isbn="978-3-030-00111-7"
}
Authors:
Daniel Krakowczyk, Jannik Wolff, Alexandru Ciobanu, Dennis Julian Meyer, Christopher-Eyk Hrabia
Category:
Conference Paper
Year:
2018
Location:
KI 2018: Advances in Artificial Intelligence