Probabilistic mutual localization in multi-agent systems from anonymous position measures

Abstract-- Recent research on multi-agent systems has produced a plethora of decentralized controllers that implicitly assume various degrees of agent localization. However, many practical arrangements commonly taken to allow and achieve localization imply some form of centralization, from the use of physical tagging to allow the identification of the single agent to the adoption of global positioning systems based on cameras or GPS. These devices clearly decrease the system autonomy and range of applicability, and should be avoided if possible. Following this guideline, this work addresses the mutual localization problem with anonymous relative position measures, presenting a robust solution based on a probabilistic framework. The proposed localization system exhibits higher accuracy and lower complexity (O(n2 )) than our previous method [1]. Moreover, with respect to more conventional solutions that could be conceived on the basis of the current literature, our method is theoreticall...

• Type: Journal
• Year: 2010
• Where: CDC
• Authors: Antonio Franchi, Giuseppe Oriolo, Paolo Stegagno
• Keywords: Anonymous Relative Position, CDC 2010, Control Systems, Global Positioning Systems, Mutual Localization Problem