Gas Source Localization via Behaviour Based Mobile Robot and Weighted Arithmetic Mean

Mobile Robot Localization via Machine Learning

An appearance-based robot self-localization problem is considered in the machine learning framework. The appearance space is composed of all possible images, which can be captured by a robot’s visual system under all robot localizations. Using recent manifold learning and deep learning techniques, we propose a new geometrically motivated solution based on training data consisting of a finite se...

A Binaural Sound Source Localization System for a Mobile Robot

Localization of Internet-based Mobile Robot

This paper presents a new optimal filter namely past observation-based extended Kalman filter for the problem of localization of Internet-based mobile robot in which the control input and the feedback measurement suffer from communication delay. The filter operates through two phases: the time update and the data correction. The time update predicts the robot position by reformulating the kinem...

Feature Based Condensation for Mobile Robot Localization

1 I n t r o d u c t i o n The problem dealt with in this paper is the problem of Mobile Robot Localization (MRL), a problem as old as the field of mobile robotics. In short we define tile problem as finding the pose 1 of the robot using a map of the environment and sensor data. The map of the environment is not assumed to be complete, in the sense that every single detail is present, but it is ...

Active Mobile Robot Localization

Localization is the problem of determining the position of a mobile robot from sensor data. Most existing localization approaches are passive, i.e., they do not exploit the opportunity to control the robot’s effectors during localization. This paper proposes an active localization approach. The approach provides rational criteria for (1) setting the robot’s motion direction (exploration), and (...