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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| Format: | Presentation |
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American Control Conference
2014
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| Online Access: | http://hdl.handle.net/1721.1/90368 |
| _version_ | 1826197339127152640 |
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| author | Clare, A. S. Macbeth, J. C, Cummings, M. L. |
| author_facet | Clare, A. S. Macbeth, J. C, Cummings, M. L. |
| author_sort | Clare, A. 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 | 2024-09-23T10:46:11Z |
| format | Presentation |
| id | mit-1721.1/90368 |
| institution | Massachusetts Institute of Technology |
| last_indexed | 2024-09-23T10:46:11Z |
| publishDate | 2014 |
| publisher | American Control Conference |
| record_format | dspace |
| spelling | mit-1721.1/903682019-04-12T21:59:10Z Mixed-Initiative Strategies for Real-time Scheduling of Multiple Unmanned Vehicles Clare, A. S. Macbeth, J. C, Cummings, M. L. autonomy unmanned vehicles systems 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. This work was supported by ONR Grant N00014-08-C-0707 and Aurora Flight Sciences. 2014-09-25T20:29:25Z 2014-09-25T20:29:25Z 2012 Presentation http://hdl.handle.net/1721.1/90368 Clare, A. S., Macbeth, J. C., and Cummings, M. L., Mixed-Initiative Strategies for Real-time Scheduling of Multiple Unmanned Vehicles, American Control Conference, Montreal, Canada, 2012. application/pdf American Control Conference |
| spellingShingle | autonomy unmanned vehicles systems Clare, A. S. Macbeth, J. 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 |
| topic | autonomy unmanned vehicles systems |
| url | http://hdl.handle.net/1721.1/90368 |
| work_keys_str_mv | AT clareas mixedinitiativestrategiesforrealtimeschedulingofmultipleunmannedvehicles AT macbethjc mixedinitiativestrategiesforrealtimeschedulingofmultipleunmannedvehicles AT cummingsml mixedinitiativestrategiesforrealtimeschedulingofmultipleunmannedvehicles |