This paper presents an experimental platform and a simulation-based one for the implementation of a method enabling mobile anonymous robots self-localization.

The main problem addressed in this work is self- localization of anonymous robots using periodically available pictures, images of the area in which robots are ...

An experimental platform and a simulation-based one are presented for the implementation of a method enabling mobile anonymous robots self-localization ...

This last algorithm was tested on a simulation platform with two mobile robots and was called "Localization During a Random Motion Algorithm" (LDRMA).

Abstract: This paper presents an experimental platform and a simulation-based one for the implementation of a method enabling mobile anonymous robots ...

This paper proposed a deep learning-based localization method using a MultiLayer Perceptron (MLP). A comparison with the previous algorithm (LDRMA [12] ) ...

This paper presents an experimental platform and a simulation-based one for the implementation of a method enabling mobile anonymous robots self-localization.

Three methods for anonymous mobile robot localization within a global frame are presented and a simulation plateform using augmented reality and the ...

This work concerns the autonomous navigation of non-holonomic ground mobile robots in a GPS-denied environment.

This paper describes the algorithmic underpinnings of the system, discusses design decisions and their impact on the per- formance of the resulting localization ...