On the Combination of Gamification and Crowd Computation in Industrial Automation and Robotics Applications

Tom Bewley, Minas Liarokapis

Research output: Chapter in Book/Report/Conference proceedingConference Contribution (Conference Proceeding)

Abstract

Autonomous intelligent systems outperform human workers in an expanding range of domains, typically those in which success is a function of speed, precision and repeatability. However, many cognitive tasks remain beyond the reach of automation. In this work, we propose the use of video games to crowdsource the cognitive versatility and creativity of human players to solve complex problems in industrial automation and robotics applications. To do so, we introduce a theoretical framework in which robotics problems are embedded into video game environments and gameplay from crowds of players is aggregated to inform robot actions. Such a framework could enable a future of synergistic human-machine collaboration for industrial automation, in which members of the public not only freely offer the fruits of their intelligent reasoning for productive use, but have fun whilst doing so. There is also potential for significant negative consequences surrounding safety, accountability and ethics if great care is not taken in the implementation. Further work is needed to explore these wider implications, as well as to develop the technical theory behind the framework and build prototype applications.
Original languageEnglish
Title of host publication2019 International Conference on Robotics and Automation (ICRA)
DOIs
Publication statusE-pub ahead of print - 12 Aug 2019
Event2019 IEEE International Conference on Robotics and Automation (ICRA 2019) - Montreal, Canada
Duration: 20 May 201924 May 2019
https://www.icra2019.org/

Conference

Conference2019 IEEE International Conference on Robotics and Automation (ICRA 2019)
Abbreviated titleICRA2019
CountryCanada
CityMontreal
Period20/05/1924/05/19
Internet address

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