Journal article icon

Journal article

Semantic place understanding for human–robot coexistence—toward intelligent workplaces

Abstract:

Recent introductions of robots to everyday scenarios have revealed unprecedented opportunities for collaboration and social interaction between robots and people. However, to date, such interactions are hampered by a significant challenge: having a semantic understanding of their environment. Even simple requirements, such as “a robot should always be in the kitchen when a person is there,” are difficult to implement without prior training. In this paper, we advocate that robot-people coexist...

Expand abstract
Publication status:
Published
Peer review status:
Peer reviewed

Actions


Access Document


Files:
Publisher copy:
10.1109/THMS.2018.2875079

Authors


More by this author
Institution:
University of Oxford
Division:
MPLS Division
Department:
Computer Science
Role:
Author
ORCID:
0000-0001-6458-6344
More by this author
Institution:
University of Oxford
Division:
MPLS Division
Department:
Computer Science
Role:
Author
More by this author
Institution:
University of Oxford
Division:
MPLS Division
Department:
Computer Science
Role:
Author
More by this author
Institution:
University of Oxford
Division:
MPLS Division
Department:
Computer Science
Role:
Author
ORCID:
0000-0001-6236-9645
More from this funder
Name:
Engineering and Physical Sciences Research Council
Publisher:
IEEE
Journal:
IEEE Transactions on Human-Machine Systems More from this journal
Volume:
49
Issue:
2
Pages:
160-170
Publication date:
2018-10-30
Acceptance date:
2018-09-18
DOI:
ISSN:
2168-2291 and 2168-2305
Keywords:
Pubs id:
pubs:940659
UUID:
uuid:28e7145e-bd9c-4fb3-8103-b1f12ebc036c
Local pid:
pubs:940659
Source identifiers:
940659
Deposit date:
2019-08-23

Terms of use


Views and Downloads






If you are the owner of this record, you can report an update to it here: Report update to this record

TO TOP