Autonomous Flight in Unstructured and Unknown Indoor Environments

Thesis with the same title and author is in DSpace. This is a conference paper.

Bibliographic Details
Main Authors: Bachrach, Abraham Galton, He, Ruijie, Roy, Nicholas
Other Authors: Massachusetts Institute of Technology. Department of Aeronautics and Astronautics
Format: Article
Language:en_US
Published: Multi Science Publishing 2011
Online Access:http://hdl.handle.net/1721.1/67487
https://orcid.org/0000-0002-8293-0492
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author Bachrach, Abraham Galton
He, Ruijie
Roy, Nicholas
author2 Massachusetts Institute of Technology. Department of Aeronautics and Astronautics
author_facet Massachusetts Institute of Technology. Department of Aeronautics and Astronautics
Bachrach, Abraham Galton
He, Ruijie
Roy, Nicholas
author_sort Bachrach, Abraham Galton
collection MIT
description Thesis with the same title and author is in DSpace. This is a conference paper.
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spelling mit-1721.1/674872022-09-30T14:58:24Z Autonomous Flight in Unstructured and Unknown Indoor Environments Bachrach, Abraham Galton He, Ruijie Roy, Nicholas Massachusetts Institute of Technology. Department of Aeronautics and Astronautics Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science Roy, Nicholas Bachrach, Abraham Galton He, Ruijie Roy, Nicholas Thesis with the same title and author is in DSpace. This is a conference paper. This paper presents our solution for enabling a quadrotor helicopter, equipped with a laser rangefinder sensor, to autonomously explore and map unstructured and unknown indoor environments. While these capabilities are already commodities on ground vehicles, air vehicles seeking the same performance face unique challenges. In this paper, we describe the difficulties in achieving fully autonomous helicopter flight, highlighting the differences between ground and helicopter robots that make it difficult to use algorithms that have been developed for ground robots. We then provide an overview of our solution to the key problems, including a multilevel sensing and control hierarchy, a high-speed laser scan-matching algorithm, an EKF for data fusion, a high-level SLAM implementation, and an exploration planner. Finally, we show experimental results demonstrating the helicopter's ability to navigate accurately and autonomously in unknown environments. Micro Autonomous Consortium Systems and Technology Singapore. Armed Forces National Science Foundation (U.S.). Division of Information and Intelligent Systems (grant #0546467) 2011-12-09T17:25:03Z 2011-12-09T17:25:03Z 2010-01 Article http://purl.org/eprint/type/ConferencePaper 1756-8293 http://hdl.handle.net/1721.1/67487 Bachrach, Abraham, Ruijie He, and Nicholas Roy. “Autonomous Flight in Unknown Indoor Environments.” International Journal of Micro Air Vehicles 1 (2009): 217-228. Web. 9 Dec. 2011. https://orcid.org/0000-0002-8293-0492 en_US http://dx.doi.org/10.1260/175682909790291492 International Journal of Micro Air Vehicles Article is made available in accordance with the publisher's policy and may be subject to US copyright law. Please refer to the publisher's site for terms of use. application/pdf Multi Science Publishing EMAV Organization
spellingShingle Bachrach, Abraham Galton
He, Ruijie
Roy, Nicholas
Autonomous Flight in Unstructured and Unknown Indoor Environments
title Autonomous Flight in Unstructured and Unknown Indoor Environments
title_full Autonomous Flight in Unstructured and Unknown Indoor Environments
title_fullStr Autonomous Flight in Unstructured and Unknown Indoor Environments
title_full_unstemmed Autonomous Flight in Unstructured and Unknown Indoor Environments
title_short Autonomous Flight in Unstructured and Unknown Indoor Environments
title_sort autonomous flight in unstructured and unknown indoor environments
url http://hdl.handle.net/1721.1/67487
https://orcid.org/0000-0002-8293-0492
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AT heruijie autonomousflightinunstructuredandunknownindoorenvironments
AT roynicholas autonomousflightinunstructuredandunknownindoorenvironments