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Distributed robotics is an interdisciplinary and rapidly growing
area, combining research in computer science, communication and
control systems, and electrical and mechanical engineering.
Distributed robotic systems can autonomously solve complex problems
while operating in highly unstructured real-world environments.
They are expected to play a major role in addressing future
societal needs, for example, by improving environmental impact
assessment, food supply, transportation, manufacturing, security,
and emergency and rescue services. The goal of the International
Symposium on Distributed Autonomous Robotic Systems (DARS) is to
provide a forum for scientific advances in the theory and practice
of distributed autonomous robotic systems. This volume of
proceedings include 47 original contributions presented at the 13th
International Symposium on Distributed Autonomous Robotic Systems
(DARS 2016), which was held at the Natural History Museum in
London, UK, from November 7th to 9th, 2016. The selected papers in
this volume are authored by leading researchers from around the
world, thereby providing a broad coverage and perspective of the
state-of-the-art technologies, algorithms, system architectures,
and applications in distributed robotic systems. The book is
organized into seven parts, representative of critical long-term
and emerging research thrusts in the multi-robot community:
Distributed Coverage and Exploration; Multi-Robot Control;
Multi-Robot Estimation; Multi-Robot Planning; Modular Robots and
Smart Materials; Swarm Robotics; and Multi-Robot Systems in
Applications.
Distributed robotics is an interdisciplinary and rapidly growing
area, combining research in computer science, communication and
control systems, and electrical and mechanical engineering.
Distributed robotic systems can autonomously solve complex problems
while operating in highly unstructured real-world environments.
They are expected to play a major role in addressing future
societal needs, for example, by improving environmental impact
assessment, food supply, transportation, manufacturing, security,
and emergency and rescue services. The goal of the International
Symposium on Distributed Autonomous Robotic Systems (DARS) is to
provide a forum for scientific advances in the theory and practice
of distributed autonomous robotic systems. This volume of
proceedings include 47 original contributions presented at the 13th
International Symposium on Distributed Autonomous Robotic Systems
(DARS 2016), which was held at the Natural History Museum in
London, UK, from November 7th to 9th, 2016. The selected papers in
this volume are authored by leading researchers from around the
world, thereby providing a broad coverage and perspective of the
state-of-the-art technologies, algorithms, system architectures,
and applications in distributed robotic systems. The book is
organized into seven parts, representative of critical long-term
and emerging research thrusts in the multi-robot community:
Distributed Coverage and Exploration; Multi-Robot Control;
Multi-Robot Estimation; Multi-Robot Planning; Modular Robots and
Smart Materials; Swarm Robotics; and Multi-Robot Systems in
Applications.
Algorithms are a fundamental component of robotic systems. Robot
algorithms process inputs from sensors that provide noisy and
partial data, build geometric and physical models of the world,
plan high-and low-level actions at different time horizons, and
execute these actions on actuators with limited precision. The
design and analysis of robot algorithms raise a unique combination
of questions from many elds, including control theory,
computational geometry and topology, geometrical and physical
modeling, reasoning under uncertainty, probabilistic algorithms,
game theory, and theoretical computer science. The Workshop on
Algorithmic Foundations of Robotics (WAFR) is a single-track
meeting of leading researchers in the eld of robot algorithms.
Since its inception in 1994, WAFR has been held every other year,
and has provided one of the premiere venues for the publication of
some of the eld's most important and lasting contributions. This
books contains the proceedings of the tenth WAFR, held on June
13{15 2012 at the Massachusetts Institute of Technology. The 37
papers included in this book cover a broad range of topics, from
fundamental theoretical issues in robot motion planning, control,
and perception, to novel applications.
Algorithms are a fundamental component of robotic systems. Robot
algorithms process inputs from sensors that provide noisy and
partial data, build geometric and physical models of the world,
plan high-and low-level actions at different time horizons, and
execute these actions on actuators with limited precision. The
design and analysis of robot algorithms raise a unique combination
of questions from many elds, including control theory,
computational geometry and topology, geometrical and physical
modeling, reasoning under uncertainty, probabilistic algorithms,
game theory, and theoretical computer science. The Workshop on
Algorithmic Foundations of Robotics (WAFR) is a single-track
meeting of leading researchers in the eld of robot algorithms.
Since its inception in 1994, WAFR has been held every other year,
and has provided one of the premiere venues for the publication of
some of the eld's most important and lasting contributions. This
books contains the proceedings of the tenth WAFR, held on June
13{15 2012 at the Massachusetts Institute of Technology. The 37
papers included in this book cover a broad range of topics, from
fundamental theoretical issues in robot motion planning, control,
and perception, to novel applications.
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