ORCA: A multi-tier, physics based robotics simulator

Physics-based simulation has grown to become an indispensable tool in robotics research, since it greatly facilitates development and evaluation of complex robotics algorithms. Today it is considered a standard practice, prior to any deployment on hardware platforms, and an important part of the dev...

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Bibliographic Details
Main Authors: Emmanouil Hourdakis, Giorgos Chliveros, Panos Trahanias
Other Authors: Emmanouil, Hourdaki, Giorgos, Chlivero, Panos, Trahanias
Format: Article in Journal/Newspaper
Language:English
Published: Università degli studi di Bergamo 2014
Subjects:
Online Access:http://hdl.handle.net/10446/87669
https://doi.org/10.6092/JOSER_2014_05_02_p13
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Summary:Physics-based simulation has grown to become an indispensable tool in robotics research, since it greatly facilitates development and evaluation of complex robotics algorithms. Today it is considered a standard practice, prior to any deployment on hardware platforms, and an important part of the development activities in large-scale projects. To cope with this role, simulators must address additional issues related to large-scale model development, including multi-modal processing, provisions for algorithmic integration, and fast, scalable graphics. To meet those needs, we have developed ORCA, a versatile, physics-based robotics simulator that has underpinned the research efforts of numerous European and national funded projects. ORCA integrates a middleware back-end directly into the server/simulator environment, making the sharing of resources a seamless task, promoting code re-use and facilitating the integration of software modules. In the current paper, we outline the main traits of the software package, its ability to render and process large-scale environments, as well as the property to distribute computing load across available resources. To demonstrate the software's applicability, we discuss three different use-cases, in which ORCA was used at the heart of their development efforts.