Guest Editorial: Open Discussion of Robot Grasping Benchmarks, Protocols, and Metrics

Jeffrey Mahler, Rob Platt, Alberto Rodriguez, Matei Ciocarlie, Aaron Dollar, Renaud Detry, Maximo A. Roa, Holly Yanco, Adam Norton, Joe Falco, Karl Van Wyk, Elena Messina, Juxi Leitner, Doug Morrison, Matt Mason, Oliver Brock, Lael Odhner, Andrey Kurenkov, Matthew Matl, Ken Goldberg

Research output: Contribution to journalReview ArticleOtherpeer-review

21 Citations (Scopus)

Abstract

Automated grasping has a long history of research that is increasing due to interest from industry. One grand challenge for robotics is Universal Picking: the ability to robustly grasp a broad variety of objects in diverse environments for applications from warehouses to assembly lines to homes. Although many researchers now openly share code and data, it is challenging to compare and/or reproduce experimental results to identify which aspects of which approaches work best due to variations in assumptions and experimental protocols, e.g., sensors, lighting, robot arms, grippers, and objects.

Original languageEnglish
Pages (from-to)1440-1442
Number of pages3
JournalIEEE Transactions on Automation Science and Engineering
Volume15
Issue number4
DOIs
Publication statusPublished - Oct 2018
Externally publishedYes

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