eduzhai > Applied Sciences > Engineering >

Human-Robot Team Coordination with Dynamic and Latent Human Task Proficiencies Scheduling with Learning Curves

  • king
  • (0) Download
  • 20210505
  • Save

... pages left unread,continue reading

Document pages: 11 pages

Abstract: As robots become ubiquitous in the workforce, it is essential thathuman-robot collaboration be both intuitive and adaptive. A robot s qualityimproves based on its ability to explicitly reason about the time-varying (i.e.learning curves) and stochastic capabilities of its human counterparts, andadjust the joint workload to improve efficiency while factoring humanpreferences. We introduce a novel resource coordination algorithm that enablesrobots to explore the relative strengths and learning abilities of their humanteammates, by constructing schedules that are robust to stochastic andtime-varying human task performance. We first validate our algorithmic approachusing data we collected from a user study (n = 20), showing we can quicklygenerate and evaluate a robust schedule while discovering the latest individualworker proficiency. Second, we conduct a between-subjects experiment (n = 90)to validate the efficacy of our coordinating algorithm. Results from thehuman-subjects experiment indicate that scheduling strategies favoringexploration tend to be beneficial for human-robot collaboration as it improvesteam fluency (p = 0.0438), while also maximizing team efficiency (p < 0.001).

Please select stars to rate!

         

0 comments Sign in to leave a comment.

    Data loading, please wait...
×