This paper describes a robust localization system, similar to the used by the teams participating in the Robocup Small size league (SSL). The system, developed in Object Pascal, allows real time localization and control of an autonomous omnidirectional mobile robot. The localization algorithm is done resorting to odometry and global vision data fusion, applying an extended Kalman filter, being this method a standard approach for reducing the error in a least squares sense, using measurements from different sources
This paper describes the code migration from a realistic simulator to a real wheeled mobile robot. T...
This paper presents an optimized algorithm for robot localization which increases the correctness an...
Localization plays a significant role in the autonomous navigation of a mobile robot. This paper inv...
Abstract: This paper describes a robust localization system, similar to the used by the teams partic...
This paper describes a robust localization system, similar to the used by the teams participating in...
This paper details the design and real-time implementation of a planar state estimator for soccer ro...
A mobile robot needs to know its pose (position and orientation) in order to navigate and perform us...
International audienceEquipping mobile robots with an omnidirectional camera is very advantageous in...
[[abstract]]An omnidirectional vision-based localization method based on the particle Alter is propo...
Abstract — This paper describes our stereo vision method which is combining an omnidirectional and a...
The accurate estimation of robot position and orientation in real-time is one of the fundamental cha...
In this article the classical self-localization approach is improved by estimating, independently f...
This paper introduces an innovative method to solve the problem of self localization of a mobile au...
In this paper we introduce a cubic root unscented kalman filter (CRUKF) compared to the unscented ka...
Non-holonomic leader-follower robot must be capable to find its own position in order to be able to ...
This paper describes the code migration from a realistic simulator to a real wheeled mobile robot. T...
This paper presents an optimized algorithm for robot localization which increases the correctness an...
Localization plays a significant role in the autonomous navigation of a mobile robot. This paper inv...
Abstract: This paper describes a robust localization system, similar to the used by the teams partic...
This paper describes a robust localization system, similar to the used by the teams participating in...
This paper details the design and real-time implementation of a planar state estimator for soccer ro...
A mobile robot needs to know its pose (position and orientation) in order to navigate and perform us...
International audienceEquipping mobile robots with an omnidirectional camera is very advantageous in...
[[abstract]]An omnidirectional vision-based localization method based on the particle Alter is propo...
Abstract — This paper describes our stereo vision method which is combining an omnidirectional and a...
The accurate estimation of robot position and orientation in real-time is one of the fundamental cha...
In this article the classical self-localization approach is improved by estimating, independently f...
This paper introduces an innovative method to solve the problem of self localization of a mobile au...
In this paper we introduce a cubic root unscented kalman filter (CRUKF) compared to the unscented ka...
Non-holonomic leader-follower robot must be capable to find its own position in order to be able to ...
This paper describes the code migration from a realistic simulator to a real wheeled mobile robot. T...
This paper presents an optimized algorithm for robot localization which increases the correctness an...
Localization plays a significant role in the autonomous navigation of a mobile robot. This paper inv...