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Simulation, Modeling, and Programming for Autonomous Robots - Second International Conference, SIMPAR 2010, Darmstadt, Germany, November 15-18, 2010, Proceedings (Paperback, 2010 ed.)
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Simulation, Modeling, and Programming for Autonomous Robots - Second International Conference, SIMPAR 2010, Darmstadt, Germany, November 15-18, 2010, Proceedings (Paperback, 2010 ed.)
Series: Lecture Notes in Computer Science, 6472
Expected to ship within 10 - 15 working days
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Why are the many highly capable autonomous robots that have been
promised for novel applications driven by society, industry, and
research not available - day despite the tremendous progress in
robotics science and systems achieved during the last decades?
Unfortunately, steady improvements in speci?c robot abilities and
robot hardware have not been matched by corresponding robot
performance in real world environments. This is mainly due to the
lack of - vancements in robot software that master the development
of robotic systems of ever increasing complexity. In addition,
fundamental open problems are still awaiting sound answers while
the development of new robotics applications s-
fersfromthelackofwidelyusedtools,libraries,andalgorithmsthataredesigned
in a modular and performant manner with standardized interfaces.
Simulation environments are playing a major role not only in
reducing development time and cost, e. g. , by systematic software-
or hardware-in-the-loop testing of robot performance, but also in
exploring new types of robots and applications. H- ever,their use
may still be regardedwith skepticism. Seamless migrationof code
using robot simulators to real-world systems is still a rare
circumstance, due to the complexity of robot, world, sensor, and
actuator modeling. These challenges drive the quest for the next
generation of methodologies and tools for robot development. The
objective of the International Conference on Simulation, Modeling,
and ProgrammingforAutonomous Robots (SIMPAR) is to o?er a unique
forum for these topics and to bring together researchersfrom
academia and industry to identify and solve the key issues
necessary to ease the development of increasingly complex robot
software.
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