| 1. |
- Canovas, Juan-Pedro, et al.
(författare)
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Cooperative object localization using fuzzy logic
- 2003
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Ingår i: Proceedings of the IEEE international conference on methods and models in automation and robotics. ; , s. 773-778
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Konferensbidrag (refereegranskat)abstract
- Cooperative localization of objects is an important challenge in multi-robot systems. We propose a new approach to cooperative object localization by a group of communicating robots. In our approach we see each robot as an expert which provides unreliable information about the location of objects. The information provided by different robots is combined using fuzzy logic techniques, in order to reach agreement between the robots. This contrasts with current techniques, which average the information provided by different robots, and can incur well-known problems when information is unreliable. We have tested our technique on a team of Sony AIBO robots in the RoboCup domain. We present experimental results obtained by sharing information about the location of the ball
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| 2. |
- Canovas, Juan-Pedro, et al.
(författare)
-
Robust multi-robot object localization using fuzzy logic
- 2005
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Ingår i: RoboCup 2004. - Berlin, Heidelberg : Springer Berlin/Heidelberg. - 9783540250463 ; , s. 247-261
-
Konferensbidrag (refereegranskat)abstract
- Cooperative localization of objects is an important challenge in multi-robot systems. We propose a new approach to this problem where we see each robot as an expert which shares unreliable information about object locations. The information provided by different robots is then combined using fuzzy logic techniques, in order to reach a consensus between the robots. This contrasts with most current probabilistic techniques, which average information from different robots in order to obtain a tradeoff, and can thus incur well-known problems when information is unreliable. In addition, our approach does not assume that the robots have accurate self-localization. Instead, uncertainty in the pose of the sensing robot is propagated to object position estimates. We present experimental results obtained on a team of Sony AIBO robots, where we share information about the location of the ball in the RoboCup domain
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