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Analysis of an adaptive strategy for equitably approaching and joining human interactions

Vishnu Karakkat Narayanan 1 Anne Spalanzani 2 Ren C. Luo 3 Marie Babel 1
1 Lagadic - Visual servoing in robotics, computer vision, and augmented reality
CRISAM - Inria Sophia Antipolis - Méditerranée , Inria Rennes – Bretagne Atlantique , IRISA-D5 - SIGNAUX ET IMAGES NUMÉRIQUES, ROBOTIQUE
2 CHROMA - Robots coopératifs et adaptés à la présence humaine en environnements dynamiques
Inria Grenoble - Rhône-Alpes, CITI - CITI Centre of Innovation in Telecommunications and Integration of services
Abstract : — Since social, assistive and companion robots need to navigate within human crowds, understanding spatial social conventions while designing navigation solutions for such robots is an essential issue. This work presents an analysis of an socially compliant robot motion strategy that could be employed by social robots such as humanoids, service robots or intelligent wheelchairs, for approaching and joining humans groups in interaction, and then become an equitable part of the interaction. Following our previous work that formalized the motion strategy, a detailed synthesis is presented here with experiments that validate the proposed system in the real world.
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Submitted on : Monday, June 13, 2016 - 10:49:05 AM
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  • HAL Id : hal-01330889, version 1


Vishnu Karakkat Narayanan, Anne Spalanzani, Ren C. Luo, Marie Babel. Analysis of an adaptive strategy for equitably approaching and joining human interactions. IEEE Int. Symp. on Robot and Human Interactive Communication, RO-MAN, Aug 2016, New-York, United States. ⟨hal-01330889⟩



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