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Sensor Network-based Multi-Robot Task Allocation (2003)
| Content Provider | CiteSeerX |
|---|---|
| Author | Sukhatme, Gaurav S. Batalin, Maxim A. |
| Abstract | We present DINTA, Distributed In-network Task Allocation - a novel paradigm for multi-robot task allocation (MRTA) where tasks are allocated implicitly to robots by a pre-deployed, static sensor network. Experimental results with a simulated alarm scenario show that our approach is able to compute solutions to the MRTA problem in a distributed fashion. We compared our approach to a strategy where robots use the deployed sensor network for efficient exploration. The data show that our approach outperforms such an 'exploration-only' algorithm. The data also provide evidence that the proposed algorithm is more stable than the 'exploration-only' algorithm. |
| File Format | |
| Publisher Date | 2003-01-01 |
| Access Restriction | Open |
| Subject Keyword | Approach Outperforms Simulated Alarm Scenario Show Efficient Exploration Static Sensor Network Data Show Present Dinta Mrta Problem Experimental Result Multi-robot Task Allocation Distributed Fashion Sensor Network-based Multi-robot Task Allocation In-network Task Allocation Deployed Sensor Network Novel Paradigm |
| Content Type | Text |
