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Analysis and Observations from the First Amazon Picking Challenge

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arxiv 1601.05484 v3 pith:DS26MWFW submitted 2016-01-21 cs.RO

Nikolaus Correll , Kostas E. Bekris , Dmitry Berenson , Oliver Brock , Albert Causo , Kris Hauser , Kei Okada , Alberto Rodriguez
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Joseph M. Romano Peter R. Wurman
This is my paper · ORCID
classification cs.RO
keywords challengesurveyamazondesignobservationspickingteamteams
verification ladder T0 review T1 audit T2 compute T3 formal
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This paper presents a overview of the inaugural Amazon Picking Challenge along with a summary of a survey conducted among the 26 participating teams. The challenge goal was to design an autonomous robot to pick items from a warehouse shelf. This task is currently performed by human workers, and there is hope that robots can someday help increase efficiency and throughput while lowering cost. We report on a 28-question survey posed to the teams to learn about each team's background, mechanism design, perception apparatus, planning and control approach. We identify trends in this data, correlate it with each team's success in the competition, and discuss observations and lessons learned based on survey results and the authors' personal experiences during the challenge.

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Cited by 1 Pith paper

Reviewed papers in the Pith corpus that reference this work. Sorted by Pith novelty score. Full citation record

  1. An Integrated Approach to Robotic Object Grasping and Manipulation

    cs.RO 2024-11 reject novelty 2.0 of 10

    A student project claims an autonomous shelf-picking robot, but the deployed system is a simple image-subtraction prototype with no quantitative evaluation.

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