Invisible leash: Object-following robot

Frink, Elizabeth; Flippo, Daniel; Sharda, Ajay

doi:10.14313/JAMRIS_1-2016/1

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Invisible leash: Object-following robot

Frink, Elizabeth; Flippo, Daniel; Sharda, Ajay

This study looked at developing a simple concept for an object-following robot, meant to follow a person in an agricultural setting. A KIPR Link was used as the framework, and simple mathematical relationships were derived to control the motion of the robot. The work described is meant as a proof-of-concept, not as a full-scale development. Reasonable results were obtained, indicating that the robot could successfully follow the object. © 2016, Industrial Research Institute for Automation and Measurements. All rights reserved.

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Citation: Frink, E., Flippo, D., & Sharda, A. (2016). Invisible leash: Object-following robot. Journal of Automation, Mobile Robotics and Intelligent Systems, 10(1), 3-7. doi:10.14313/JAMRIS_1-2016/1

Keywords: Agriculture; Kipr Link; Object-Following; Un-Maned Robot

Journal: Journal of Automation, Mobile Robotics and Intelligent Systems, Volume: 10, Issue: 1, Starting Page: 42801,

Date: 2016

Publisher URL: https://doi.org/10.14313/JAMRIS_1-2016/1

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Record URL: http://hdl.handle.net/2097/35275

Rights: CC Attribution-ShareAlike. Supporting the realization of the idea of the Open Science, we make available free of charge all scientific articles published in the scientific quarterly "Journal of Automation, Mobile Robotics & Intelligent Systems". Journal's contents are licensed under CC BY-SA.

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CC Attribution-ShareAlike. Supporting the realization of the idea of the Open Science, we make available free of charge all scientific articles published in the scientific quarterly "Journal of Automation, Mobile Robotics & Intelligent Systems". Journal's contents are licensed under CC BY-SA.

Except where otherwise noted, the use of this item is bound by the following: CC Attribution-ShareAlike. Supporting the realization of the idea of the Open Science, we make available free of charge all scientific articles published in the scientific quarterly "Journal of Automation, Mobile Robotics & Intelligent Systems". Journal's contents are licensed under CC BY-SA.