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A Proposal to Combine Depth Information from LIDAR and RGB-D Sensors in an Assistant Personal Robot

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Trends in Practical Applications of Scalable Multi-Agent Systems, the PAAMS Collection (PAAMS 2016)

Abstract

This paper proposes a methodology to combine the depth information obtained from LIDAR and RGB-D sensors in order to generate enhanced 2D navigation maps which will be used by an Assistant Personal Robot. The objective of this procedure is to locate the mobile robot and to avoid collisions while performing movements in any direction.

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References

  1. Munaro, M., Basso, F., Menegatti, E.: Tracking people within groups with RGB-D data. In: IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), pp. 2101–2107, October 2012

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Correspondence to Jordi Palacín .

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© 2016 Springer International Publishing Switzerland

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Clotet, E., Martínez, D., Moreno, J., Tresanchez, M., Palacín, J. (2016). A Proposal to Combine Depth Information from LIDAR and RGB-D Sensors in an Assistant Personal Robot. In: de la Prieta, F., et al. Trends in Practical Applications of Scalable Multi-Agent Systems, the PAAMS Collection. PAAMS 2016. Advances in Intelligent Systems and Computing, vol 473. Springer, Cham. https://doi.org/10.1007/978-3-319-40159-1_30

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  • DOI: https://doi.org/10.1007/978-3-319-40159-1_30

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-40158-4

  • Online ISBN: 978-3-319-40159-1

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