DocumentCode :
2437934
Title :
Advanced virtual testbeds: Robotics know how for virtual worlds
Author :
Rossmann, Juergen
Author_Institution :
Inst. of Man Machine Interaction, RWTH Aachen Univ., Aachen, Germany
fYear :
2010
fDate :
7-10 Dec. 2010
Firstpage :
133
Lastpage :
138
Abstract :
In recent years, virtual reality has emerged as a key technology for improving and streamlining design, programming, manufacturing and training processes. Based on experiences in the fields of space robotics, industrial manufacturing, multi-physics and virtual prototyping, "virtual testbeds" are currently being designed and implemented. Building on experiences gained in space robotics applications, the idea of "virtual testbeds" currently conquers new fields of applications in the manufacturing industry, on construction sites and even "in the woods". Interestingly, all fields can be supported with a rather generic and common basis so that the different applications can be realized very cost-efficiently. This paper is an attempt to give an overview over different current applications and setups. Furthermore, it will focus on the phases of a product\´s lifecycle that can already today be efficiently supported by virtual and augmented reality technologies. From a system theoretic standpoint, virtual testbeds are currently bridging the gap between virtual reality and robotics because on the one hand, robotics know how related to kinematics and physics based modeling is being used in virtual worlds to make them "behave realistically", on the other hand, those virtual worlds make very efficient representations of "real worlds" in which planning systems for robotics can try out action alternatives quickly and without danger to the robotic hardware.
Keywords :
aerospace computing; aerospace robotics; aerospace simulation; augmented reality; mobile robots; advanced virtual testbeds; augmented reality technologies; physics based modeling; space robotics; virtual reality; virtual worlds; Biological system modeling; Humans; Kinematics; Robots; Solid modeling; Training; Virtual reality; Projective Virtual Reality; Space- and Industrial Robotics; Virtual Factory; Virtual Fores; Working Machine Simulation;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Control Automation Robotics & Vision (ICARCV), 2010 11th International Conference on
Conference_Location :
Singapore
Print_ISBN :
978-1-4244-7814-9
Type :
conf
DOI :
10.1109/ICARCV.2010.5707836
Filename :
5707836
Link To Document :
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