A study of human-agent collaboration for multi-UAV task allocation in dynamic environments
We consider a setting where a team of humans oversee the coordination of multiple Unmanned Aerial Vehicles (UAVs) to perform a number of search tasks in dynamic environments that may cause the UAVs to drop out. Hence, we develop a set of multi-UAV supervisory control interfaces and a multi-agent coo...
| Main Authors: | , , , , , |
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| Format: | Conference or Workshop Item |
| Published: |
2015
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| Online Access: | https://eprints.nottingham.ac.uk/31397/ |
| _version_ | 1848794193094246400 |
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| author | Ramchurn, Sarvapali D. Fischer, Joel E. Ikuno, Yuki Wu, Feng Flann, Jack Waldock, Antony |
| author_facet | Ramchurn, Sarvapali D. Fischer, Joel E. Ikuno, Yuki Wu, Feng Flann, Jack Waldock, Antony |
| author_sort | Ramchurn, Sarvapali D. |
| building | Nottingham Research Data Repository |
| collection | Online Access |
| description | We consider a setting where a team of humans oversee the coordination of multiple Unmanned Aerial Vehicles (UAVs) to perform a number of search tasks in dynamic environments that may cause the UAVs to drop out. Hence, we develop a set of multi-UAV supervisory control interfaces and a multi-agent coordination algorithm to support human decision making in this setting. To elucidate the resulting interactional issues, we compare manual and mixed-initiative task allocation in both static and dynamic environments in lab studies with 40 participants and observe that our mixed initiative system results in lower workloads and better performance in re-planning tasks than one which only involves manual task allocation. Our analysis points to new insights into the way humans appropriate flexible autonomy. |
| first_indexed | 2025-11-14T19:12:18Z |
| format | Conference or Workshop Item |
| id | nottingham-31397 |
| institution | University of Nottingham Malaysia Campus |
| institution_category | Local University |
| last_indexed | 2025-11-14T19:12:18Z |
| publishDate | 2015 |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | nottingham-313972020-05-04T17:12:05Z https://eprints.nottingham.ac.uk/31397/ A study of human-agent collaboration for multi-UAV task allocation in dynamic environments Ramchurn, Sarvapali D. Fischer, Joel E. Ikuno, Yuki Wu, Feng Flann, Jack Waldock, Antony We consider a setting where a team of humans oversee the coordination of multiple Unmanned Aerial Vehicles (UAVs) to perform a number of search tasks in dynamic environments that may cause the UAVs to drop out. Hence, we develop a set of multi-UAV supervisory control interfaces and a multi-agent coordination algorithm to support human decision making in this setting. To elucidate the resulting interactional issues, we compare manual and mixed-initiative task allocation in both static and dynamic environments in lab studies with 40 participants and observe that our mixed initiative system results in lower workloads and better performance in re-planning tasks than one which only involves manual task allocation. Our analysis points to new insights into the way humans appropriate flexible autonomy. 2015-07-31 Conference or Workshop Item PeerReviewed Ramchurn, Sarvapali D., Fischer, Joel E., Ikuno, Yuki, Wu, Feng, Flann, Jack and Waldock, Antony (2015) A study of human-agent collaboration for multi-UAV task allocation in dynamic environments. In: International Joint Conference on Artificial Intelligence (IJCAI-15), 25-31 July 2015, Buenos Aires, Argentina. http://ijcai.org/papers15/Abstracts/IJCAI15-171.html |
| spellingShingle | Ramchurn, Sarvapali D. Fischer, Joel E. Ikuno, Yuki Wu, Feng Flann, Jack Waldock, Antony A study of human-agent collaboration for multi-UAV task allocation in dynamic environments |
| title | A study of human-agent collaboration for multi-UAV task allocation in dynamic environments |
| title_full | A study of human-agent collaboration for multi-UAV task allocation in dynamic environments |
| title_fullStr | A study of human-agent collaboration for multi-UAV task allocation in dynamic environments |
| title_full_unstemmed | A study of human-agent collaboration for multi-UAV task allocation in dynamic environments |
| title_short | A study of human-agent collaboration for multi-UAV task allocation in dynamic environments |
| title_sort | study of human-agent collaboration for multi-uav task allocation in dynamic environments |
| url | https://eprints.nottingham.ac.uk/31397/ https://eprints.nottingham.ac.uk/31397/ |