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A Robot Cluster for Reproducible Research in Dexterous Manipulation

Stefan Bauer, Felix Widmaier, Manuel Wüthrich, Niklas Funk, Julen Urain, Jan Peters, Joe Watson, Claire Chen, Krishnan Srinivasan, Ruoyu Zhang, Jeffrey Zhang, Matthew R. Walter, Rishabh Madan, Charles Schaff, Takahiro Maeda, Takuma Yoneda, Denis Yarats, Arthur Allshire, Ethan Kroll Gordon, Tapomayukh Bhattacharjee

Year
2021
Citations
3

Abstract

Dexterous manipulation remains an open problem in robotics. To coordinate efforts of the research community towards tackling this problem, we propose a shared benchmark. We designed and built robotic platforms that are hosted at the MPI-IS and can be accessed remotely. Each platform consists of three robotic fingers that are capable of dexterous object manipulation. Users are able to control the platforms remotely by submitting code that is executed automatically, akin to a computational cluster. Using this setup, i) we host robotics competitions, where teams from anywhere in the world access our platforms to tackle challenging tasks, ii) we publish the datasets collected during these competitions (consisting of hundreds of robot hours), and iii) we give researchers access to these platforms for their own projects.

Keywords

RoboticsComputer scienceRobotBenchmark (surveying)Artificial intelligenceHuman–computer interactionHost (biology)Code (set theory)Programming languageSet (abstract data type)

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