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Microstructure-Assisted Vision: Adding New Senses to Low-Power Devices

Authors:

Yang Bai,

Nakul Garg,

Nirupam RoyAuthors Info & Claims

GetMobile: Mobile Computing and Communications, Volume 27, Issue 4

Pages 15 - 20

https://doi.org/10.1145/3640087.3640093

Published: 08 January 2024 Publication History

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Abstract

Miniature mobile robots are emerging with new capabilities and skills. Insect-sized and soft robots are just a few inches in size but capable of a range of tasks. They can act as first responders to search for survivors in disaster debris, perform mining or agricultural foraging, and even move heavy objects to organize. When paired with autonomous navigation capabilities, they can enable a wide range of applications, including surveillance, environmental monitoring, precision agriculture and beyond.

References

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Cited By

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Garg NGhosh ARoy NShu YLiu JTan RHe YChen J(2024)LiTEfoot: Ultra-low-power Localization using Ambient Cellular SignalsProceedings of the 22nd ACM Conference on Embedded Networked Sensor Systems10.1145/3666025.3699356(535-548)Online publication date: 4-Nov-2024
https://dl.acm.org/doi/10.1145/3666025.3699356

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Published In

cover image GetMobile: Mobile Computing and Communications

GetMobile: Mobile Computing and Communications Volume 27, Issue 4

December 2023

31 pages

ISSN:2375-0529

EISSN:2375-0537

DOI:10.1145/3640087

Editor:
Landon Cox
Microsoft Research

Issue’s Table of Contents

Permission to make digital or hard copies of part or all of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for third-party components of this work must be honored. For all other uses, contact the Owner/Author.

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 08 January 2024

Published in SIGMOBILE-GETMOBILE Volume 27, Issue 4

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Garg NGhosh ARoy NShu YLiu JTan RHe YChen J(2024)LiTEfoot: Ultra-low-power Localization using Ambient Cellular SignalsProceedings of the 22nd ACM Conference on Embedded Networked Sensor Systems10.1145/3666025.3699356(535-548)Online publication date: 4-Nov-2024
https://dl.acm.org/doi/10.1145/3666025.3699356

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