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Simulation, Modeling, and Programming for Autonomous Robots - First International Conference, SIMPAR 2008 Venice, Italy, November 3-7, 2008. Proceedings (Paperback, 2008 ed.)
Loot Price: R1,492
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Simulation, Modeling, and Programming for Autonomous Robots - First International Conference, SIMPAR 2008 Venice, Italy, November 3-7, 2008. Proceedings (Paperback, 2008 ed.)
Series: Lecture Notes in Computer Science, 5325
Expected to ship within 10 - 15 working days
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The First International Conference on Simulation, Modeling, and
Programming for Autonomous Robots (SIMPAR 2008) was held during
November 3-6, 2008, in Venice, at Telecom Future Center, with a
special session held in Padua, in the Archivio Antico of the
university. The SIMPAR Conference was promoted to o?er to a
selected number of - searchers the possibility to discuss, in a
highly stimulating atmosphere, how to identify andsolvethe key
issues necessaryto ease the development of robotso- ware, andboosta
smoothshifting ofresults fromsimulationto realapplications. Novel
robotics applications driven by society and industry call for the
dev-
opmentofsystemsofever-increasingcomplexity.Systemswithslidingautonomy,
humanoid robots, distributed robots, and mobile sensor networks are
just a few examples of this exciting area.But unfortunately, steady
improvements in robot hardware have not been matched by
corresponding advancements in robot so- ware. Besides fundamental
open problems still waiting for sound answers, the lack of broadly
accepted and reusable development tools, libraries, standards, and
algorithms is one of the main technological obstacles towards the
e?cient development of this new generation of robotics
applications. Hence,
simulationenvironmentsabletoreplicatearobot'ssensingandmotion
abilitiesandtheirinteractionwiththephysicalworldareplayinganessentialrole
in reducing the development time and cost of large-scale autonomous
systems. Notwithstanding, their use is still regarded by many as
suspicious. Seamless migration of code from general-purpose
simulators to real-world systems is still ararecircumstance,
duetothecomplexityofrobot, world, sensors, andactuators modeling.
The above challenges drive the quest for next-generationdevelopment
methods in robotics. We are convinced that SIMPAR has succeeded in
giving a ?rst answer to this search, and it can be followed by
proper scienti?c and engineering actions in the near future
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