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2014 | OriginalPaper | Chapter

1. Introduction

Author : Yasmina Bestaoui Sebbane

Published in: Planning and Decision Making for Aerial Robots

Publisher: Springer International Publishing

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Abstract

Aerial robots being the ultimate of the unmanned aerial vehicles, aerial robotics is a rapidly evolving and expanding field. As reasoning in the case of a complex dynamic environment represents a difficult problem, planning and decision making are two fundamental problems in robotics that have been addressed from different perspectives. Combined planning and decision making is becoming increasingly important due to the recognition that a diverse set of applications involve reasoning with both discrete actions and continuous motions. The topics considered are multidisciplinary and lie at the intersection of robotics, control theory operational research and artificial intelligence. This chapter introduces aerial robotics and the relationship of planning and decision making of aerial robots with artificial intelligence. Aerial robotics follows the weak hypothesis of artificial intelligence that means that an aerial robot should be able to simulate the human cognitive process but it cannot experience mental states by itself. Then, some basic notions about probability, uncertainty, nonlinear control theory, graph theory, linear temporal logic and rough sets are given. Many tasks requiring an internal representation of the aerial robot and its environment, modeling of the environment and airplane/helicopter like aerial robot thus follow. As the relative size of most aerial robots generally places them under air susceptibility to variations in wind conditions, state of the atmosphere is considered. Finally, Collision/obstacles avoidance being a critical requirement for the safe operation of aerial robots, conflict detection is analysed addressing the problem of collision detection with deterministic and probabilistic approaches.

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Metadata
Title
Introduction
Author
Yasmina Bestaoui Sebbane
Copyright Year
2014
Book
Planning and Decision Making for Aerial Robots

Print ISBN: 978-3-319-03706-6

Electronic ISBN: 978-3-319-03707-3

Copyright Year: 2014

DOI
https://doi.org/10.1007/978-3-319-03707-3_1