A survey on socially aware robot navigation: Taxonomy and future challenges

Author:

Singamaneni Phani Teja1ORCID,Bachiller-Burgos Pilar2ORCID,Manso Luis J.3,Garrell Anaís45,Sanfeliu Alberto45,Spalanzani Anne6ORCID,Alami Rachid1ORCID

Affiliation:

1. LAAS-CNRS, Universite de Toulouse, Toulouse, France

2. RoboLab, Universidad de Extremadura, Cáceres, Spain

3. Aston University, Birmingham, UK

4. Institut de Robòtica i Informàtica Industrial (CSIC-UPC), Barcelona, Spain

5. Universitat Politècnica de Catalunya, Barcelona, Spain

6. Universite Grenoble Alpes, Inria Grenoble, France

Abstract

Socially aware robot navigation is gaining popularity with the increase in delivery and assistive robots. The research is further fueled by a need for socially aware navigation skills in autonomous vehicles to move safely and appropriately in spaces shared with humans. Although most of these are ground robots, drones are also entering the field. In this paper, we present a literature survey of the works on socially aware robot navigation in the past 10 years. We propose four different faceted taxonomies to navigate the literature and examine the field from four different perspectives. Through the taxonomic review, we discuss the current research directions and the extending scope of applications in various domains. Further, we put forward a list of current research opportunities and present a discussion on possible future challenges that are likely to emerge in the field.

Funder

Ministerio de Ciencia e Innovación

Spanish Government (MCIN/AEI) and European Union

European project CANOPIES

Agence Nationale de la Recherche

HORIZON EUROPE Framework Programme

Publisher

SAGE Publications

Cited by 3 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Guessing Human Intentions to Avoid Dangerous Situations in Caregiving Robots;Applied Sciences;2024-09-09

2. Learning Priors of Human Motion With Vision Transformers;2024 IEEE 48th Annual Computers, Software, and Applications Conference (COMPSAC);2024-07-02

3. Bridging Requirements, Planning, and Evaluation: A Review of Social Robot Navigation;Sensors;2024-04-27

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3