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.
| Original language | English |
|---|---|
| Pages (from-to) | 1533-1572 |
| Number of pages | 40 |
| Journal | The International Journal of Robotics Research |
| Volume | 43 |
| Issue number | 10 |
| Early online date | 12 Feb 2024 |
| DOIs | |
| Publication status | Published - Sept 2024 |
Bibliographical note
Copyright © The Author(s), 2024. This accepted manuscript version is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License [https://creativecommons.org/licenses/by-nc-nd/4.0/].Funding
The author(s) disclosed receipt of the following financial support for the research, authorship, and/or publication of this article: This work was supported by the Horizon Europe Framework Programme [Grant: euROBIN 101070596]; Agence Nationale de la Recherche [Grant: ANITI ANR-19-PI3A-0004]; European project CANOPIES [Grant: H2020-ICT-2020-2-101016906]; Spanish Government (MCIN/AEI) and European Union (“NextGenerationEU”/PRTR) [Grant: TED2021-131739-C22]; Spanish Government (MCIN) [Grant: PDC2022-133597-C41]; Spanish Government (MCIN) [Grant: PID2022-142039NA-I00].
Keywords
- Socially Aware Robot Navigation
- Human-aware Navigation
- Literature Survey
- Taxonomy
- Challenges
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