Analysis and Observations From the First Amazon Picking Challenge
Name
alberto rod paper preprint he says nk-tase16-apc-final.pdf
Size
11.25 MB
Format
Adobe PDF
Checksum (MD5)
fe7a79b187b42c9f53a1b822cd758e19
Author(s)
Correll, Nikolaus
Bekris, Kostas E.
Berenson, Dmitry
Brock, Oliver
Causo, Albert
Hauser, Kris
Okada, Kei
Romano, Joseph M.
Wurman, Peter R.
Rodriguez Garcia, Alberto
Date Issued
October 2016
Journal
IEEE Transactions on Automation Science and Engineering
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Citation
Correll, Nikolaus et al. “Analysis and Observations From the First Amazon Picking Challenge.” IEEE Transactions on Automation Science and Engineering (2016): 1–17 © 2016 Institute of Electrical and Electronics Engineers (IEEE)
Version
Author's final manuscript
Abstract
This paper presents an 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.
MIT Department
Massachusetts Institute of Technology. Department of Mechanical Engineering
Terms of Use
Creative Commons Attribution-Noncommercial-Share Alike
Persistent DSpace Link
DOI of Published Version
https://doi.org/10.1109/TASE.2016.2600527
