Industry led use-case development for human-swarm operations
Industry led use-case development for human-swarm operations
In the domain of unmanned vehicles, autonomous robotic swarms promise to deliver increased efficiency and collective autonomy. How these swarms will operate in the future, and what communication requirements and operational boundaries will arise are yet to be sufficiently defined. A workshop was conducted with 11 professional unmanned-vehicle operators and designers with the objective of identifying use-cases for developing and testing robotic swarms. Three scenarios were defined by experts and were then compiled to produce a single use case outlining the scenario, objectives, agents, communication requirements and stages of operation when collaborating with highly autonomous swarms. Our compiled use case is intended for researchers, designers, and manufacturers alike to test and tailor their design pipeline to accommodate for some of the key issues in human-swarm ininteraction. Examples of application include informing simulation development, forming the basis of further design workshops, and identifying trust issues that may arise between human operators and the swarm.
cs.RO, cs.HC, cs.MA
Clark, Jediah R.
5d82ac6c-58be-4366-9b11-5e3179d85b33
Naiseh, Mohammad
ab9d6b3c-569c-4d7c-9bfd-61bbb8983049
Fischer, Joel
2dde708c-f3ef-4705-b279-d0e063114790
Trigo, Marise Galvez
540518c5-91a8-42f2-b724-4f247cd823ef
Parnell, Katie
3f21709a-403b-40e1-844b-0c0a89063b7b
Brito, Mario
82e798e7-e032-4841-992e-81c6f13a9e6c
Bodenmann, Adrian
070a668f-cc2f-402a-844e-cdf207b24f50
Ramchurn, Sarvapali D.
1d62ae2a-a498-444e-912d-a6082d3aaea3
Soorati, Mohammad Divband
35fe6bbb-ce52-4c21-a46e-9bb0e31d246c
19 July 2022
Clark, Jediah R.
5d82ac6c-58be-4366-9b11-5e3179d85b33
Naiseh, Mohammad
ab9d6b3c-569c-4d7c-9bfd-61bbb8983049
Fischer, Joel
2dde708c-f3ef-4705-b279-d0e063114790
Trigo, Marise Galvez
540518c5-91a8-42f2-b724-4f247cd823ef
Parnell, Katie
3f21709a-403b-40e1-844b-0c0a89063b7b
Brito, Mario
82e798e7-e032-4841-992e-81c6f13a9e6c
Bodenmann, Adrian
070a668f-cc2f-402a-844e-cdf207b24f50
Ramchurn, Sarvapali D.
1d62ae2a-a498-444e-912d-a6082d3aaea3
Soorati, Mohammad Divband
35fe6bbb-ce52-4c21-a46e-9bb0e31d246c
Clark, Jediah R., Naiseh, Mohammad, Fischer, Joel, Trigo, Marise Galvez, Parnell, Katie, Brito, Mario, Bodenmann, Adrian, Ramchurn, Sarvapali D. and Soorati, Mohammad Divband
(2022)
Industry led use-case development for human-swarm operations
6pp.
(doi:10.48550/arXiv.2207.09543).
Record type:
Monograph
(Working Paper)
Abstract
In the domain of unmanned vehicles, autonomous robotic swarms promise to deliver increased efficiency and collective autonomy. How these swarms will operate in the future, and what communication requirements and operational boundaries will arise are yet to be sufficiently defined. A workshop was conducted with 11 professional unmanned-vehicle operators and designers with the objective of identifying use-cases for developing and testing robotic swarms. Three scenarios were defined by experts and were then compiled to produce a single use case outlining the scenario, objectives, agents, communication requirements and stages of operation when collaborating with highly autonomous swarms. Our compiled use case is intended for researchers, designers, and manufacturers alike to test and tailor their design pipeline to accommodate for some of the key issues in human-swarm ininteraction. Examples of application include informing simulation development, forming the basis of further design workshops, and identifying trust issues that may arise between human operators and the swarm.
More information
Published date: 19 July 2022
Additional Information:
Accepted at AAAI 2022 Spring Symposium Series (Putting AI in the Critical Loop: Assured Trust and Autonomy in Human-Machine Teams)
Keywords:
cs.RO, cs.HC, cs.MA
Identifiers
Local EPrints ID: 472597
URI: http://eprints.soton.ac.uk/id/eprint/472597
PURE UUID: bcfa4fc7-06e4-4f16-b9e7-388b75e458d5
Catalogue record
Date deposited: 09 Dec 2022 17:39
Last modified: 17 Mar 2024 04:07
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