A taxonomy for multi-agent robotics

Artificial Intelligence and Mobile Robots, 1998

This thesis focuses on the development of a system in which a team of heterogeneous mobile robots can cooperate to perform a wide range of tasks. In order that a group of heterogeneous robots can cooperate among them, one of the most important parts to develop is the creation of an architecture which gives support for the cooperation. This architecture is developed by means of embedding agents and interfacing agent code with native low-level code. It also addresses the implementation of resource sharing among the whole group of robots, that is, the robots can borrow capabilities from each-other.

This thesis presents a new framework for developing, coordinating, and managing a system of situated agents for operation in distributed spatial environments. The framework was developed using agent-oriented software engineering techniques that consider concurrent features of real systems. It provides a realistic development environment that ensures reliable deployment of coordination schemes and mechanisms in real contexts. This thesis would have not been possible without the support and encouragement of many people whom I would like to sincerely thank. First and foremost, thank you to my supervisors, Dr. Maryam Purvis and Professor Martin Purvis for providing invaluable support and advice throughout the course of this thesis. Your support and guidance over the last five years that I have known you has been unbelievable. For that and everything else you have done, I am eternally grateful. Thank you! I also would like to thank Mariusz Nowostawski, Mark George, Vincent Goh and

Robotica, 1991

SUMMARY The use of Multi-Agent Systems as a Distributed AI paradigm for Robotics is the principal aim of our present work. In this paper we consider the needed concepts and a suitable architecture for a set of Agents in order to make it possible for them to cooperate in solving non-trivial tasks.

2015

Multi Robot System (MRS) is one of the most important research areas in the field of Robotics and Artificial Intelligence. The study of Multi Robot Systems may take many aspects; therefore, it is useful to study the Multi Robot Systems from a specific point of view to get a more focused idea. In this paper, we present a review of the recent trends in Multi Robot Systems research by focusing at the collaborative aspect. Furthermore, we address the structure of Multi Robot Systems, their applications and the techniques and algorithms used in the collaborative MRS.

IEEE/WIC International Conference on Intelligent Agent Technology, 2003. IAT 2003., 2003

The design of a an agent system for robotics is a problem that involves aspects coming from many different disciplines (robotics, artificial intelligence, computer vision, software engineering). The most difficult part of it often consists in producing and tuning the algorithms that incorporates the robot behavior (planning, obstacle avoidance, ) and abilities (vision, manipulation, navigation, ). It is frequent that the reuse of this parts is left to a copy and paste procedure from previous applications to the new one. In so doing many problems could arises. We propose a comprehensive approach for multi-agent systems oriented to robotics applications that uses a complete design methodology supported by a specific design tools and a pattern repository that interacting each other and with the designer allow the production of a coherent design that easily incorporates patterns coming from previously experienced features and automatically produces a large part of the final code

2000

ó Multi-Robot Systems (MRS) are, nowadays, an im- portant research area within Robotics and Articial Intelligence and a growing number of systems has been recently presented in the literature. Since application domains and tasks that are faced by MRS are of increasing complexity, the ability of the robots to cooperate can be regarded as a fundamental feature. In this paper,

Applications of Mobile Robots [Working Title]

Research in the area of cooperative multi-agent robot systems has received wide attention among researchers in recent years. The main concern is to find the effective coordination among autonomous agents to perform the task in order to achieve a high quality of overall performance. Therefore, this paper reviewed various selected literatures primarily from recent conference proceedings and journals related to cooperation and coordination of multi-agent robot systems (MARS). The problems, issues, and directions of MARS research have been investigated in the literature reviews. Three main elements of MARS which are the type of agents, control architectures, and communications were discussed thoroughly in the beginning of this paper. A series of problems together with the issues were analyzed and reviewed, which included centralized and decentralized control, consensus, containment, formation, task allocation, intelligences, optimization and communications of multi-agent robots. Since the research in the field of multi-agent robot research is expanding, some issues and future challenges in MARS are recalled, discussed and clarified with future directions. Finally, the paper is concluded with some recommendations with respect to multi-agent systems.

ICAR '05. Proceedings., 12th International Conference on Advanced Robotics, 2005., 2005

Lecture Notes in Computer Science, 2001

Multi Robot Systems are, nowadays, an important research area within Robotics and Artificial Intelligence. Although Multi Robot Systems can be regarded as a particular case of Multi Agent Systems, it seems appropriate to study the Multi Robot Systems from a specific viewpoint, because of the issues which arise from the embodiment of agents operating in real environments. In this paper, we present an analysis of Multi Robot Systems by looking at their cooperative aspects. In particular, we propose a taxonomy of Multi Robot Systems and a characterization of reactive and social deliberative behaviors of the Multi Robot System as a whole. Finally, we address some Multi Robot Systems, which we consider representative of the various nodes in our taxonomy.