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Analysis of institutional authors

Pestana, JesusCorresponding AuthorLuis Sanchez-Lopez, JoseAuthorDe La Puente, PalomaAuthorCarrio, AdrianAuthorCampoy, PascualAuthor

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June 9, 2019
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A Vision-based Quadrotor Multi-robot Solution for the Indoor Autonomy Challenge of the 2013 International Micro Air Vehicle Competition

Publicated to: JOURNAL OF INTELLIGENT & ROBOTIC SYSTEMS. 84 (1-4): 601-620 - 2016-12-01 84(1-4), DOI: 10.1007/s10846-015-0304-1

Authors:

Pestana, J; Sanchez-Lopez, JL; de la Puente, P; Carrio, A; Campoy, P
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Affiliations

UPM, CSIC, Comp Vis Grp, Ctr Automat & Robot, Calle Jose Gutierrez Abascal 2, Madrid 28006, Spain - Author

Abstract

This paper presents a completely autonomous solution to participate in the Indoor Challenge of the 2013 International Micro Air Vehicle Competition (IMAV 2013). Our proposal is a multi-robot system with no centralized coordination whose robotic agents share their position estimates. The capability of each agent to navigate avoiding collisions is a consequence of the resulting emergent behavior. Each agent consists of a ground station running an instance of the proposed architecture that communicates over WiFi with an AR Drone 2.0 quadrotor. Visual markers are employed to sense and map obstacles and to improve the pose estimation based on Inertial Measurement Unit (IMU) and ground optical flow data. Based on our architecture, each robotic agent can navigate avoiding obstacles and other members of the multi-robot system. The solution is demonstrated and the achieved navigation performance is evaluated by means of experimental flights. This work also analyzes the capabilities of the presented solution in simulated flights of the IMAV 2013 Indoor Challenge. The performance of the CVG UPM team was awarded with the First Prize in the Indoor Autonomy Challenge of the IMAV 2013 competition.
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Keywords

Aerial roboticsDistributed robot systemsMavMobile robotsMulti-robot coordinationNavigationObstacle avoidanceQuadrotorRemotely operated vehiclesVelocity obstaclesVisual navigation

Quality index

Bibliometric impact. Analysis of the contribution and dissemination channel

The work has been published in the journal JOURNAL OF INTELLIGENT & ROBOTIC SYSTEMS due to its progression and the good impact it has achieved in recent years, according to the agency Scopus (SJR), it has become a reference in its field. In the year of publication of the work, 2016, it was in position , thus managing to position itself as a Q1 (Primer Cuartil), in the category Artificial Intelligence. Notably, the journal is positioned above the 90th percentile.

Independientemente del impacto esperado determinado por el canal de difusión, es importante destacar el impacto real observado de la propia aportación.

Según las diferentes agencias de indexación, el número de citas acumuladas por esta publicación hasta la fecha 2026-04-24:

  • Google Scholar: 20
  • WoS: 12
  • Scopus: 18
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Impact and social visibility

From the perspective of influence or social adoption, and based on metrics associated with mentions and interactions provided by agencies specializing in calculating the so-called "Alternative or Social Metrics," we can highlight as of 2026-04-24:

  • The use of this contribution in bookmarks, code forks, additions to favorite lists for recurrent reading, as well as general views, indicates that someone is using the publication as a basis for their current work. This may be a notable indicator of future more formal and academic citations. This claim is supported by the result of the "Capture" indicator, which yields a total of: 45 (PlumX).

It is essential to present evidence supporting full alignment with institutional principles and guidelines on Open Science and the Conservation and Dissemination of Intellectual Heritage. A clear example of this is:

  • The work has been submitted to a journal whose editorial policy allows open Open Access publication.
  • Assignment of a Handle/URN as an identifier within the deposit in the Institutional Repository: https://oa.upm.es/41459/

As a result of the publication of the work in the institutional repository, statistical usage data has been obtained that reflects its impact. In terms of dissemination, we can state that, as of

  • Views: 532
  • Downloads: 511
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Leadership analysis of institutional authors

There is a significant leadership presence as some of the institution’s authors appear as the first or last signer, detailed as follows: First Author (Pestana Puerta, Jesus) and Last Author (CAMPOY CERVERA, PASCUAL).

the author responsible for correspondence tasks has been Pestana Puerta, Jesus.

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