Mixed-initiative strategies for real-time scheduling of multiple unmanned vehicles
Advances in autonomy have made it possible to invert the typical operator-to-unmanned vehicle ratio so that a single operator can now control multiple heterogeneous Unmanned Vehicles (UVs). Real-time scheduling and task assignment for multiple UVs in uncertain environments will require the computati...
| Main Authors: | , , |
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| Other Authors: | |
| Format: | Article |
| Language: | en_US |
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Institute of Electrical and Electronics Engineers (IEEE)
2013
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| Online Access: | http://hdl.handle.net/1721.1/81258 |
| _version_ | 1826215394177712128 |
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| author | Clare, Andrew S. Macbeth, Jamie C. Cummings, M. L. |
| author2 | Massachusetts Institute of Technology. Department of Aeronautics and Astronautics |
| author_facet | Massachusetts Institute of Technology. Department of Aeronautics and Astronautics Clare, Andrew S. Macbeth, Jamie C. Cummings, M. L. |
| author_sort | Clare, Andrew S. |
| collection | MIT |
| description | Advances in autonomy have made it possible to invert the typical operator-to-unmanned vehicle ratio so that a single operator can now control multiple heterogeneous Unmanned Vehicles (UVs). Real-time scheduling and task assignment for multiple UVs in uncertain environments will require the computational ability of optimization algorithms combined with the judgment and adaptability of human supervisors through mixed-initiative systems. The goal of this paper is to analyze the interactions between operators and scheduling algorithms in two human- in-the-loop multiple UV control experiments. The impact of real-time operator modifications to the objective function of an optimization algorithm for multi-UV scheduling is described. Results from outdoor multiple UV flight tests using a human-computer collaborative scheduling system are presented, which provide valuable insight into the impact of environmental uncertainty and vehicle failures on system effectiveness. |
| first_indexed | 2024-09-23T16:27:02Z |
| format | Article |
| id | mit-1721.1/81258 |
| institution | Massachusetts Institute of Technology |
| language | en_US |
| last_indexed | 2024-09-23T16:27:02Z |
| publishDate | 2013 |
| publisher | Institute of Electrical and Electronics Engineers (IEEE) |
| record_format | dspace |
| spelling | mit-1721.1/812582022-10-02T08:00:59Z Mixed-initiative strategies for real-time scheduling of multiple unmanned vehicles Clare, Andrew S. Macbeth, Jamie C. Cummings, M. L. Massachusetts Institute of Technology. Department of Aeronautics and Astronautics Clare, Andrew S. Macbeth, Jamie C. Cummings, M. L. Advances in autonomy have made it possible to invert the typical operator-to-unmanned vehicle ratio so that a single operator can now control multiple heterogeneous Unmanned Vehicles (UVs). Real-time scheduling and task assignment for multiple UVs in uncertain environments will require the computational ability of optimization algorithms combined with the judgment and adaptability of human supervisors through mixed-initiative systems. The goal of this paper is to analyze the interactions between operators and scheduling algorithms in two human- in-the-loop multiple UV control experiments. The impact of real-time operator modifications to the objective function of an optimization algorithm for multi-UV scheduling is described. Results from outdoor multiple UV flight tests using a human-computer collaborative scheduling system are presented, which provide valuable insight into the impact of environmental uncertainty and vehicle failures on system effectiveness. United States. Dept. of Defense (National Defense Science and Engineering Graduate Fellowship) 2013-10-01T15:28:37Z 2013-10-01T15:28:37Z 2012-06 2011-09 Article http://purl.org/eprint/type/ConferencePaper 978-1-4673-2102-0 978-1-4577-1095-7 0743-1619 http://hdl.handle.net/1721.1/81258 Clare, A.S.; Macbeth, J.C.; Cummings, M.L., "Mixed-initiative strategies for real-time scheduling of multiple unmanned vehicles," American Control Conference (ACC), 2012 , vol., no., pp.676,682, 27-29 June 2012. en_US http://ieeexplore.ieee.org/xpl/articleDetails.jsp?arnumber=6314752 Proceedings of the American Control Conference (ACC), 2012 Creative Commons Attribution-Noncommercial-Share Alike 3.0 http://creativecommons.org/licenses/by-nc-sa/3.0/ application/pdf Institute of Electrical and Electronics Engineers (IEEE) MIT web domain |
| spellingShingle | Clare, Andrew S. Macbeth, Jamie C. Cummings, M. L. Mixed-initiative strategies for real-time scheduling of multiple unmanned vehicles |
| title | Mixed-initiative strategies for real-time scheduling of multiple unmanned vehicles |
| title_full | Mixed-initiative strategies for real-time scheduling of multiple unmanned vehicles |
| title_fullStr | Mixed-initiative strategies for real-time scheduling of multiple unmanned vehicles |
| title_full_unstemmed | Mixed-initiative strategies for real-time scheduling of multiple unmanned vehicles |
| title_short | Mixed-initiative strategies for real-time scheduling of multiple unmanned vehicles |
| title_sort | mixed initiative strategies for real time scheduling of multiple unmanned vehicles |
| url | http://hdl.handle.net/1721.1/81258 |
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