A Summary of Team MIT's Approach to the Amazon Picking Challenge 2015
April 13, 2016 Β· Declared Dead Β· π arXiv.org
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Authors
Kuan-Ting Yu, Nima Fazeli, Nikhil Chavan-Dafle, Orion Taylor, Elliott Donlon, Guillermo Diaz Lankenau, Alberto Rodriguez
arXiv ID
1604.03639
Category
cs.RO: Robotics
Citations
51
Venue
arXiv.org
Last Checked
5 months ago
Abstract
The Amazon Picking Challenge (APC), held alongside the International Conference on Robotics and Automation in May 2015 in Seattle, challenged roboticists from academia and industry to demonstrate fully automated solutions to the problem of picking objects from shelves in a warehouse fulfillment scenario. Packing density, object variability, speed, and reliability are the main complexities of the task. The picking challenge serves both as a motivation and an instrument to focus research efforts on a specific manipulation problem. In this document, we describe Team MIT's approach to the competition, including design considerations, contributions, and performance, and we compile the lessons learned. We also describe what we think are the main remaining challenges.
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