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References

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Journal papers

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[1] A. Franchi, P. Stegagno and G. Oriolo, Decentralized Multi-Robot Encirclement of a 3D Target with Guaranteed Collision Avoidance, Autonomous Robots, July 2015. (download)​​

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[2] A. Franchi, G. Oriolo and P. Stegagno, Mutual Localization in Multi-Robot Systems using Anonymous Relative Measurements, International Journal of Robotics Research, vol. 32, issue 11, pp. 1303-1322, Sept 2013. (download)​​

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Conference papers

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[3] A. Franchi, P. Stegagno, M. Di Rocco, and G. Oriolo, Distributed Target Localization and Encircling with a Multi-robot System. In 7th IFAC Symposium on Intelligent Autonomous Vehicles, Lecce, Italy, Sep. 2010. (download)​​

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Distributed target localization and encirclement 

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Consider the problem of localizing and encircling a target using a multi-robot system. This kind of task is interesting in view of the large number of potential applications, among which we mention observation (retrieve and merge data about an object from different viewpoints), escorting (protect a member of the system from unfriendly agents) and entrapment (prevent the motion of an alien object).

In [3] we present a control scheme for achieving multi-robot encirclement in a distributed way, i.e., with each robot using only local information gathered by on-board relative-position sensors. In particular, these are assumed to be noisy, anisotropic, and unable to detect the identity of the measured object. Communication between the robots is provided by limited-range transceivers. Experimental results with stationary and moving targets support the theoretical analysis. To localize both the target and the other robots, a decentralized mutual localization module runs on each robot. This module, whose design is based on our previous work [2], overcomes the limitations of our sensors. See the mutual localization page for more details.

The initial design of the control law proposed in [3] was extended in [1] to the 3D case, and to include also guaranteed collision avoidance between the robots.

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