The robot programming network
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Other documents of the author: Cervera, Enric; Martinet, Philippe; Marin, Raul; Moughlbay, Amine A.; del Pobil, Angel P.; Alemany, Jaume; Esteller Curto, Roger; Casañ, Gustavo Adolfo
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comunitat-uji-handle2:10234/7036
comunitat-uji-handle3:10234/8620
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INVESTIGACIONMetadata
Title
The robot programming networkAuthor (s)
Date
2016Publisher
Springer NetherlandsISSN
0921-0296; 1573-0409Type
info:eu-repo/semantics/articlePublisher version
http://link.springer.com/article/10.1007/s10846-015-0201-7Subject
Abstract
The Robot Programming Network (RPN) is an initiative for creating
a network of robotics education laboratories with remote programming
capabilities. It consists of both online open course materials and online ... [+]
The Robot Programming Network (RPN) is an initiative for creating
a network of robotics education laboratories with remote programming
capabilities. It consists of both online open course materials and online servers
that are ready to execute and test the programs written by remote students.
Online materials include introductory course modules on robot programming,
mobile robotics and humanoids, aimed to learn from basic concepts in science,
technology, engineering, and mathematics (STEM) to more advanced programming
skills. The students have access to the online server hosts, where they
submit and run their programming code on the fly. The hosts run a variety of
robot simulation environments, and access to real robots can also be granted,
upon successful achievement of the course modules. The learning materials
provide step-by-step guidance for solving problems with increasing level of dif-
ficulty. Skill tests and challenges are given for checking the success, and online
competitions are scheduled for additional motivation and fun. Use of standard
robotics middleware (ROS) allows the system to be extended to a large number
of robot platforms, and connected to other existing tele-laboratories for
building a large social network for online teaching of robotics. [-]
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J Intell Robot Syst (2016) 81:77–95Rights
© Springer Science+Business Media Dordrecht 2015
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- ICC_Articles [414]