V-REP: a versatile and scalable robot simulation framework

Rohmer, Eric, Singh, Surya P. N. and Freese, Marc (2013). V-REP: a versatile and scalable robot simulation framework. In: IROS 2013: New Horizon, Conference Digest - 2013 IEEE/RSJ International Conference on Intelligent Robots and Systems. 2013 26th IEEE/RSJ International Conference on Intelligent Robots and Systems: New Horizon (IROS 2013), Tokyo, Japan, (1321-1326). 3-November 8 2013. doi:10.1109/IROS.2013.6696520

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Author Rohmer, Eric
Singh, Surya P. N.
Freese, Marc
Title of paper V-REP: a versatile and scalable robot simulation framework
Conference name 2013 26th IEEE/RSJ International Conference on Intelligent Robots and Systems: New Horizon (IROS 2013)
Conference location Tokyo, Japan
Conference dates 3-November 8 2013
Proceedings title IROS 2013: New Horizon, Conference Digest - 2013 IEEE/RSJ International Conference on Intelligent Robots and Systems   Check publisher's open access policy
Journal name IEEE International Conference on Intelligent Robots and Systems. Proceedings   Check publisher's open access policy
Place of Publication Piscataway, NJ, United States
Publisher Institute of Electrical and Electronics Engineers
Publication Year 2013
Sub-type Fully published paper
DOI 10.1109/IROS.2013.6696520
Open Access Status Not yet assessed
ISBN 9781467363587
ISSN 2153-0858
2153-0866
Start page 1321
End page 1326
Total pages 6
Abstract/Summary From exploring planets to cleaning homes, the reach and versatility of robotics is vast. The integration of actuation, sensing and control makes robotics systems powerful, but complicates their simulation. This paper introduces a versatile, scalable, yet powerful general-purpose robot simulation framework called V-REP. The paper discusses the utility of a portable and flexible simulation framework that allows for direct incorporation of various control techniques. This renders simulations and simulation models more accessible to a general-public, by reducing the simulation model deployment complexity. It also increases productivity by offering built-in and ready-to-use functionalities, as well as a multitude of programming approaches. This allows for a multitude of applications including rapid algorithm development, system verification, rapid prototyping, and deployment for cases such as safety/remote monitoring, training and education, hardware control, and factory automation simulation.
Subjects 2207 Control and Systems Engineering
1712 Software
1707 Computer Vision and Pattern Recognition
1706 Computer Science Applications
Q-Index Code E1
Q-Index Status Confirmed Code
Institutional Status UQ

 
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