Title:
A Review of Human Robot Proxemics
A Review of Human Robot Proxemics
dc.contributor.advisor | Chernova, Sonia H. | |
dc.contributor.author | Armas, Osvaldo A. | |
dc.contributor.committeeMember | Starner, Thad | |
dc.contributor.department | Computer Science | |
dc.date.accessioned | 2019-05-30T16:24:07Z | |
dc.date.available | 2019-05-30T16:24:07Z | |
dc.date.created | 2019-05 | |
dc.date.issued | 2019-05 | |
dc.date.submitted | May 2019 | |
dc.date.updated | 2019-05-30T16:24:07Z | |
dc.description.abstract | Robots are increasingly becoming ubiquitous, but are currently limited in their social capabilities. For robots to become ubiquitous in social environments they need to have an understanding of proxemics. Proxemics is a quickly evolving field in robotics that is rooted in anthropology and psychology. Although it initially sought to explain human-human interaction zones, it is now deeply influential in robotics research and its applications in human-robot interaction problems. This paper examines recent developments in human robot proxemics, how it is affected by emerging technologies and key limitations on further research. | |
dc.description.degree | Undergraduate | |
dc.format.mimetype | application/pdf | |
dc.identifier.uri | http://hdl.handle.net/1853/61411 | |
dc.language.iso | en_US | |
dc.publisher | Georgia Institute of Technology | |
dc.subject | Machine learning | |
dc.subject | Human Robot Interaction | |
dc.subject | Proxemics | |
dc.subject | Survey | |
dc.subject | Deep Learning | |
dc.title | A Review of Human Robot Proxemics | |
dc.type | Text | |
dc.type.genre | Undergraduate Thesis | |
dspace.entity.type | Publication | |
local.contributor.corporatename | College of Computing | |
local.contributor.corporatename | School of Computer Science | |
local.contributor.corporatename | Undergraduate Research Opportunities Program | |
local.relation.ispartofseries | Undergraduate Research Option Theses | |
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thesis.degree.level | Undergraduate |