2 3 4 extension of the presentation at arms aamas 2015 5
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2 3 4 Extension of the presentation at ARMS@AAMAS 2015 5 6 7 8 - PowerPoint PPT Presentation

Source: robocup.org 2 3 4 Extension of the presentation at ARMS@AAMAS 2015 5 6 7 8 Compute new deployment t 1 t 1 on graph G ( V , C ) iff agent a in vertex v, z 1 av in this case collect


  1. Source: robocup.org 2

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  3. 4 Extension of the presentation at ARMS@AAMAS 2015

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  8. • Compute new deployment    t 1 t 1 on graph G ( V , C ) •  iff agent a in vertex v, z 1 av in this case collect utility proportional to information gain and distance to v • Constraints (5) exponential in number, but model can be solved optimally 9

  9. Communication Method Coordination constraints Optimal Hard Hard Centralized Stump [Stump et al., 2011, ICRA] Hard Centralized (adapted) Rooker [Rooker and Birk, 2007, Control Hard (continuous) Centralized Eng Pract] Utility [Spirin et al., 2013, TAROS] r  0 greedy, r  1 quasi-hard Soft Decentralized r=0.1,0.5,0.9 10

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  11. Office Open Maze 12

  12. Office – instant replan 13

  13. Office – with repl. time (1 step = 2 seconds) 14

  14. Maze – instant replan 15

  15. Optimal Hard Utility 0.5 17

  16. Open – instant replan 18

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