Collaborative-AI: Social robots accompanying and approaching people
| Autor: | Sanfeliu, A., Ely Repiso Polo, Garrell, A. |
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| Přispěvatelé: | Ministerio de Ciencia, Innovación y Universidades (España), Agencia Estatal de Investigación (España), European Commission, Universitat Politècnica de Catalunya. Departament d'Enginyeria de Sistemes, Automàtica i Informàtica Industrial, Universitat Politècnica de Catalunya. Doctorat en Automàtica, Robòtica i Visió, Universitat Politècnica de Catalunya. VIS - Visió Artificial i Sistemes Intel·ligents |
| Rok vydání: | 2020 |
| Předmět: |
Human-Robot Collaboration
Human-Robot accompaniment Robots mòbils Informàtica::Automàtica i control [Àrees temàtiques de la UPC] Human-Robot approaching Robot Navigation Human-Robot group accompaniment Mobile robots Androids Informàtica::Robòtica [Àrees temàtiques de la UPC] Androides Human-Robot Interaction |
| Zdroj: | Digital.CSIC. Repositorio Institucional del CSIC instname UPCommons. Portal del coneixement obert de la UPC Universitat Politècnica de Catalunya (UPC) Scopus-Elsevier |
| Popis: | Trabajo presentado en el International First International Workshop on New Foundations for Human-Centered AI (NeHuAI), celebrado en Santiago de Compostela (España), el 4 de septiembre de 2020 Collaborative AI to approach or to accompany people using social robots will be a fundamental robotics field in the near future. If we desire to share and to collaborate with social robots during the development of our daily task, social robots should be able to develop Collaborative AI task, such us accompanying or approaching people. In this article, we will present the robot-people accompaniment and approaching missions through the four levels of abstractions of Collaborative AI systems and describe the main Collaborative AI functionalities that are needed for these missions. We will also show the system that we have developed for accompany one or two pedestrians and approaching on person by a robot in an urban space Work supported by the Spanish Ministry of Science project ROCOTRANSP (PID2019-106702RB-C21-RAEI/FEDER EU) by Ministerio de Ciencia e Innovacion , the EU AI4EU project (H2020-ICT-2018-2-825619), by the Spanish State Research Agency through the María de Maeztu Seal of Excellence to IRI (MDM-2016-0656). Ely Repiso is suported by the FPI-grant, BES-2014-067713. |
| Databáze: | OpenAIRE |
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