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Conflict Resolution in Robotics: An Overview

Conflict Resolution in Robotics: An Overview

Ester Martinez-Martin, Angel P. del Pobil
Copyright: © 2017 |Pages: 16
ISBN13: 9781522517597|ISBN10: 1522517596|EISBN13: 9781522517603
DOI: 10.4018/978-1-5225-1759-7.ch108
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MLA

Martinez-Martin, Ester, and Angel P. del Pobil. "Conflict Resolution in Robotics: An Overview." Artificial Intelligence: Concepts, Methodologies, Tools, and Applications, edited by Information Resources Management Association, IGI Global, 2017, pp. 2623-2638. https://doi.org/10.4018/978-1-5225-1759-7.ch108

APA

Martinez-Martin, E. & del Pobil, A. P. (2017). Conflict Resolution in Robotics: An Overview. In I. Management Association (Ed.), Artificial Intelligence: Concepts, Methodologies, Tools, and Applications (pp. 2623-2638). IGI Global. https://doi.org/10.4018/978-1-5225-1759-7.ch108

Chicago

Martinez-Martin, Ester, and Angel P. del Pobil. "Conflict Resolution in Robotics: An Overview." In Artificial Intelligence: Concepts, Methodologies, Tools, and Applications, edited by Information Resources Management Association, 2623-2638. Hershey, PA: IGI Global, 2017. https://doi.org/10.4018/978-1-5225-1759-7.ch108

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Abstract

A long-term goal in Robotics is developing autonomous systems able to assist and support human beings, especially in hazardous and/or repetitive tasks. So, these robotic systems will share their workspace with other robots, people or both of them, possibly having different goals and needs. This fact may result in a conflict that should be solved for properly achieving the intended goals. However, there is no a universal way to do it since different scenarios and behaviours lead to different kinds of conflicts. In addition, execution time is a critical issue in the Robotics field and has to be taken into account when a conflict resolution technique is developed. In this chapter we will discuss the state-of-the-art algorithms applied to several robotic tasks from assembly and disassembly in industrial settings to multi-robot cooperation through collision avoidance in unstructured, crowded environments. So, a deep analysis will highlight approach's applications and utilities, as well as their limitations.

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