A Flexible and Adaptive Spatial Density Model for Context-Aware Social Mapping: Towards a More Realistic Social Navigation

Araceli Vega, Luis J. Manso, Pablo Bustos, Pedro Nunez

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Social navigation is a topic with enormous interest in autonomous robotics. Robots are gradually being used in human environments, working individually or collaborating with humans in their daily tasks. Robots in these scenarios have to be able to behave in a socially acceptable way and, for this reason, the way in which robots move has to adapt to humans and context. Proxemics has been extensively studied with the aim of improving social navigation. However, these works do not take into account that, in several situations, the personal space of the humans depends on the context (\textit{e.g.}, this human space is not the same in a narrow corridor than in a wide room). This work proposes the definition of an adaptive and flexible space density function that allows, on the one hand, to describe the comfort space of individuals during an interaction and, on the other hand, dynamically adapt its value in terms of the space that surrounds this interaction. In order to validate the performance, this article describes a set of simulated experiments where the robustness and improvements of the approach are tested in different environments.
Original languageEnglish
Title of host publicationProceedings of the 15th International Conference on Control, Automation, Robotics and Vision
PublisherIEEE
Number of pages6
ISBN (Electronic)978-1-5386-9582-1
ISBN (Print)978-1-5386-9583-8
DOIs
Publication statusPublished - 20 Dec 2018
Event15th International Conference on Control, Automation, Robotics and Vision (ICARCV 2018) - Singapore, Singapore
Duration: 18 Nov 201821 Nov 2018

Conference

Conference15th International Conference on Control, Automation, Robotics and Vision (ICARCV 2018)
CountrySingapore
CitySingapore
Period18/11/1821/11/18

Fingerprint

Navigation
Robots
Probability density function
Robotics
Experiments

Keywords

  • robotics
  • social navigation
  • HRI

Cite this

Vega, A., Manso, L. J., Bustos, P., & Nunez, P. (2018). A Flexible and Adaptive Spatial Density Model for Context-Aware Social Mapping: Towards a More Realistic Social Navigation. In Proceedings of the 15th International Conference on Control, Automation, Robotics and Vision IEEE. https://doi.org/10.1109/ICARCV.2018.8581304
Vega, Araceli ; Manso, Luis J. ; Bustos, Pablo ; Nunez, Pedro. / A Flexible and Adaptive Spatial Density Model for Context-Aware Social Mapping : Towards a More Realistic Social Navigation. Proceedings of the 15th International Conference on Control, Automation, Robotics and Vision. IEEE, 2018.
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Vega, A, Manso, LJ, Bustos, P & Nunez, P 2018, A Flexible and Adaptive Spatial Density Model for Context-Aware Social Mapping: Towards a More Realistic Social Navigation. in Proceedings of the 15th International Conference on Control, Automation, Robotics and Vision. IEEE, 15th International Conference on Control, Automation, Robotics and Vision (ICARCV 2018), Singapore, Singapore, 18/11/18. https://doi.org/10.1109/ICARCV.2018.8581304

A Flexible and Adaptive Spatial Density Model for Context-Aware Social Mapping : Towards a More Realistic Social Navigation. / Vega, Araceli; Manso, Luis J.; Bustos, Pablo; Nunez, Pedro.

Proceedings of the 15th International Conference on Control, Automation, Robotics and Vision. IEEE, 2018.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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Vega A, Manso LJ, Bustos P, Nunez P. A Flexible and Adaptive Spatial Density Model for Context-Aware Social Mapping: Towards a More Realistic Social Navigation. In Proceedings of the 15th International Conference on Control, Automation, Robotics and Vision. IEEE. 2018 https://doi.org/10.1109/ICARCV.2018.8581304