Secured Offline Authentication on Industrial Mobile Robots using Biometric Data

Sarah Haas, Thomas Ulz, Christian Steger

Research output: Chapter in Book/Report/Conference proceedingConference paperpeer-review


The increased usage of mobile robots in the industrial context entails higher safety risks for employees on the production floor. To enable safety, the usage of security concepts on industrial mobile robots is essential. One step towards security is authentication that is necessary to prevent unauthorized people from manipulating an industrial mobile robot's software or configuration. Traditional authentication schemes that utilize username and password are not feasible for industrial mobile robots as either (a) a remote connection would be necessary
to check the credentials or (b) the credentials need to be checked locally on the robot. Remote connections are problematic due to connectivity problems similar to them at RoboCup Logistics League competitions. If the credentials need to be checked on the robot, the usernames and passwords of all authorized people need to be stored and maintained there. As both possibilities are not feasible for industrial mobile robots, we propose an offline authentication approach that uses biometric data to authenticate a user on a mobile robot. The approach uses expiring passwords and a smart card to authenticate authorized people on the
mobile robot. The smart card is equipped with a fingerprint reader to check that only authorized people are allowed to authenticate at a mobile robot. To show that the approach is able to provide secured authentication, a threat analysis is performed.
Original languageEnglish
Title of host publicationProceedings of the RoboCup International Symposium 2017
Number of pages12
Publication statusPublished - 2017
EventRobocup International Symposium 2017: RoboCup 2017 - Nagoya, Japan
Duration: 31 Jul 201731 Jul 2017


ConferenceRobocup International Symposium 2017
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