Chaos to Control : Human Assisted Scene Inspection
Jena, Ayesha LU
and Topp, Elin Anna
LU
(2023)
18th Annual ACM/IEEE International Conference on Human-Robot Interaction, HRI 2023
In ACM/IEEE International Conference on Human-Robot Interaction
p.491-494
- Abstract
We are working towards a mixed reality-based human-robot collaboration interface using gaze and gesture as methods of communicating intent in a search and rescue scenario to optimize the operation. The lack of mature algorithms and control schemes for autonomous systems makes it still difficult for them to operate safely in high-risk environments. We are approaching the problem through symbiosis while utilizing humans' intuition of the environment and robots' capability to travel through unknown environments for optimal performance in a given time.
Please use this url to cite or link to this publication:
https://lup.lub.lu.se/record/14a5c140-c100-428c-94f8-7d740744c53c
- author
- Jena, Ayesha
LU
and Topp, Elin Anna
LU
- organization
- publishing date
- 2023-03-13
- type
- Chapter in Book/Report/Conference proceeding
- publication status
- published
- subject
- keywords
- gaze detection, gesture, human-robot interface, mixed reality, mobile robot, search and rescue
- host publication
- HRI 2023 - Companion of the ACM/IEEE International Conference on Human-Robot Interaction
- series title
- ACM/IEEE International Conference on Human-Robot Interaction
- pages
- 4 pages
- publisher
- IEEE Computer Society
- conference name
- 18th Annual ACM/IEEE International Conference on Human-Robot Interaction, HRI 2023
- conference location
- Stockholm, Sweden
- conference dates
- 2023-03-13 - 2023-03-16
- external identifiers
-
- scopus:85150445253
- ISSN
- 2167-2148
- ISBN
- 9781450399708
- DOI
- 10.1145/3568294.3580133
- project
- RobotLab LTH
- Mixed - Initiative interaction for Collaborative Robotics
- Distributed Situation Awareness and Mixed-Initiative Interaction for Collaborative Robotics
- language
- English
- LU publication?
- yes
- id
- 14a5c140-c100-428c-94f8-7d740744c53c
- date added to LUP
- 2023-05-05 08:41:38
- date last changed
- 2023-11-22 18:04:27
@inproceedings{14a5c140-c100-428c-94f8-7d740744c53c,
abstract = {{<p>We are working towards a mixed reality-based human-robot collaboration interface using gaze and gesture as methods of communicating intent in a search and rescue scenario to optimize the operation. The lack of mature algorithms and control schemes for autonomous systems makes it still difficult for them to operate safely in high-risk environments. We are approaching the problem through symbiosis while utilizing humans' intuition of the environment and robots' capability to travel through unknown environments for optimal performance in a given time.</p>}},
author = {{Jena, Ayesha and Topp, Elin Anna}},
booktitle = {{HRI 2023 - Companion of the ACM/IEEE International Conference on Human-Robot Interaction}},
isbn = {{9781450399708}},
issn = {{2167-2148}},
keywords = {{gaze detection; gesture; human-robot interface; mixed reality; mobile robot; search and rescue}},
language = {{eng}},
month = {{03}},
pages = {{491--494}},
publisher = {{IEEE Computer Society}},
series = {{ACM/IEEE International Conference on Human-Robot Interaction}},
title = {{Chaos to Control : Human Assisted Scene Inspection}},
url = {{http://dx.doi.org/10.1145/3568294.3580133}},
doi = {{10.1145/3568294.3580133}},
year = {{2023}},
}