Judgment Aggregation for Cooperative Anchoring on the NAO Robots (bibtex)
by V. Ganesan, M. Slavkovik, S. Sousa, L. van der Torre
Abstract:
Cooperative anchoring is the sharing of associations between symbols and sensor data across multi robot systems. We apply the solu- tion of Judgment Aggregation, a logic based collective-decision making framework from social choice theory to the problem of cooperative an- choring in terms of information fusion. We model a multi-agent system comprising of nao robots on a search exercise using its vision and audi- tion sensor into this framework and fuse them by means of aggregation rules and compare them on a truth-tracking basis.
Reference:
Judgment Aggregation for Cooperative Anchoring on the NAO Robots (V. Ganesan, M. Slavkovik, S. Sousa, L. van der Torre), In Works-in-progress track - 3rd International Conference on Social Robotics, 2011.
Bibtex Entry:
@InProceedings{Ganesan2011,
  Title                    = {Judgment Aggregation for Cooperative Anchoring on the NAO Robots},
  Author                   = {Ganesan, V. and Slavkovik, M. and Sousa, S. and van der Torre, L.},
  Booktitle                = {Works-in-progress track - 3rd International Conference on Social Robotics},
  Year                     = {2011},

  Address                  = {Amsterdam, The Netherlands},

  Abstract                 = {Cooperative anchoring is the sharing of associations between symbols and sensor data across multi robot systems. We apply the solu- tion of Judgment Aggregation, a logic based collective-decision making framework from social choice theory to the problem of cooperative an- choring in terms of information fusion. We model a multi-agent system comprising of nao robots on a search exercise using its vision and audi- tion sensor into this framework and fuse them by means of aggregation rules and compare them on a truth-tracking basis.},
  Bdsk-url-1               = {http://icr.uni.lu/leonvandertorre/papers/icsrtest.pdf},
  Timestamp                = {2013.07.26},
  Url                      = {http://icr.uni.lu/leonvandertorre/papers/icsrtest.pdf}
}
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