IEEE Robotics & Automation Magazine - September 2018 - 93

Robot Foraging
Autonomous Sample Return in a Large Outdoor Environment

robot: ©istockphoto.com/freestylephoto
field: ©istockphoto.com/shaiith

By Yu Gu, Jared Strader,
Nicholas Ohi, Scott Harper,
Kyle Lassak, Chizhao Yang,
Lisa Kogan, Boyi Hu,
Matthew Gramlich,
Rahul Kavi, and Jason Gross

Digital Object Identifier 10.1109/MRA.2018.2803174
Date of publication: 26 March 2018

1070-9932/18©2018IEEE

A

fundamental aspect of biological intelligence, from microbes to megafauna, is the ability to forage for the provisions required to sustain life. This
sometimes underrated ability to seek out, identify, and use objects of
interest in an environment with limited prior knowledge is an important capability that is also needed by robots. Many robotics applications can be modeled as foraging problems, such as search and rescue, wildlife
tracking, crop pollination and harvesting, mining and in-situ-resource utilization,
and scientific data/sample collection.
Despite its practical importance, successful real-world demonstrations of autonomous robot foraging are still rare. This is likely due to the difficulty of integrating
september 2018

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http://www.istockphoto.com/freestylephoto http://www.istockphoto.com/shaiith

IEEE Robotics & Automation Magazine - September 2018

Table of Contents for the Digital Edition of IEEE Robotics & Automation Magazine - September 2018

Contents
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