RCLL-AR: Augmented Reality Support for Understanding Autonomous Processes in the RoboCup Logistics League
IEEE International Symposium on Mixed and Augmented Reality (ISMAR), pp. 337–347
Abstract
Autonomous robot operations in the industry are becoming increasingly complex. It is therefore a significant challenge to comprehend the fundamental processes and to gain an understanding of the status of these systems. The RoboCup Logistics League (RCLL) represents a small smart factory environment with several workstations and operating robots. Despite its small scale the processes that occur within the league are very complex. Even with live commentary, observers have difficulties to follow the processes and game progress. This results in low interest in the RCLL and only few of visitors at competitions. To address this, we want to present RCLL-AR, an augmented reality (AR) solution visualizing highly relevant information of the RoboCup Logistics League. By using RCLL-AR, spectators of the game can see the current progress of the game, receive additional information about different workstations and understand future robot movements. To gain insights into the benefits of RCLL-AR for different stakeholders, we conducted expert interviews, a novice user study and an HMD study. Our findings showcase challenges AR faces in complex autonomous systems but also indicate benefits for novices and experts.
Authors 7
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Affiliation as printed
Graz University of Technology
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Affiliation as printed
Graz University of Technology
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Affiliation as printed
Graz University of Technology
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Matteo Tschesche Aachen
Affiliation as printed
FH Aachen University of Applied Sciences
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Alexander Ferrein Aachen
Affiliation as printed
FH Aachen University of Applied Sciences
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Affiliation as printed
Graz University of Technology
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Affiliation as printed
Graz University of Technology
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