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Distributed Computing by Oblivious Mobile Robots (Paperback)
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Distributed Computing by Oblivious Mobile Robots (Paperback)
Series: Synthesis Lectures on Distributed Computing Theory
Expected to ship within 10 - 15 working days
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The study of what can be computed by a team of autonomous mobile
robots, originally started in robotics and AI, has become
increasingly popular in theoretical computer science (especially in
distributed computing), where it is now an integral part of the
investigations on computability by mobile entities. The robots are
identical computational entities located and able to move in a
spatial universe; they operate without explicit communication and
are usually unable to remember the past; they are extremely simple,
with limited resources, and individually quite weak. However,
collectively the robots are capable of performing complex tasks,
and form a system with desirable fault-tolerant and
self-stabilizing properties. The research has been concerned with
the computational aspects of such systems. In particular, the focus
has been on the minimal capabilities that the robots should have in
order to solve a problem. This book focuses on the recent
algorithmic results in the field of distributed computing by
oblivious mobile robots (unable to remember the past). After
introducing the computational model with its nuances, we focus on
basic coordination problems: pattern formation, gathering,
scattering, leader election, as well as on dynamic tasks such as
flocking. For each of these problems, we provide a snapshot of the
state of the art, reviewing the existing algorithmic results. In
doing so, we outline solution techniques, and we analyze the impact
of the different assumptions on the robots' computability power.
Table of Contents: Introduction / Computational Models / Gathering
and Convergence / Pattern Formation / Scatterings and Coverings /
Flocking / Other Directions
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