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Theoretical Results on On-line Sensor Self-Calibration

Publications associées (35)

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Automatic Self-Calibration of a Vision System during Robot Motion

Roland Siegwart, Davide Scaramuzza

This paper presents a new technique to estimate the extrinsic parameters of a robot-vision sensor system. More in general, this technique can be adopted to calibrate any robot bearing sensor. It is based on the Extended Kalman Filter. It is very simple and ...

2006

Feature-based 3D SLAM

Jan Weingarten

This doctoral thesis deals with an open subproblem of robot navigation, namely simultaneous localization and mapping (SLAM) in three-dimensional space. The goal is to develop a system which is capable of localizing a mobile robot in a reliable way and at t ...

EPFL2006

Robot Navigation by Panoramic Vision and Attention Guided Features

Roland Siegwart, Heinz Hügli, Adriana Tapus, Alexandre Bur

In visual-based robot navigation, panoramic vision emerges as a very attractive candidate for solving the localization task. Unfortunately, current systems rely on specific feature selection processes that do not cover the requirements of general purpose r ...

2006

Autonomous Self-assembly in a Swarm-bot

Francesco Mondada, Michael Bonani, Roderich Gross

Multi-robot systems have been studied in tasks that require the robots to be physically linked. In such a configuration, a group of robots may navigate a terrain that proves too difficult for a single robot. On the contrary, many collective tasks can be ac ...

Springer Verlag2006

Precise Bearing Angle Measurement Based on Omnidirectional Conic Sensor and Defocusing

Roland Siegwart, Davide Scaramuzza

Recent studies on multi-robot localization have shown that the uncertainty of robot location may be considerably reduced by optimally fusing odometry and the relative angles of sight (bearing) among the team members. However, the latter requires the capabi ...

2005

Topological SLAM

Adriana Tapus

This thesis is about topological navigation, more precisely about space representation, perception, localization and mapping. All these elements are needed in order to obtain a robust and reliable framework for navigation. This is essential in order to mov ...

EPFL2005

Slam based on quantities invariant of the robot's configuration

Roland Siegwart, Nicola Tomatis

This paper presents a solution to the Simultaneous Localization and Mapping (SLAM) problem in the stochastic map framework for a mobile robot navigating in an indoor environment. The approach is based on the concept of the relative map. The idea consists i ...

2004

SLAM with Corner Features Based on a Relative Map

Roland Siegwart, Nicola Tomatis

2004

Estimating the Odometry Error of a Mobile Robot during Navigation

Roland Siegwart

This paper addresses the problem of the odometry error estimation during the robot navigation. The robot is equipped with an external sensor (like laser range finder). Concerning the systematic error an augmented Kalman Filter is introduced. This filter es ...

2003

The Odometry Error of a Mobile Robot with a Synchronous Drive System

This paper presents an error modeling of an odometry system for a synchronous-drive system and a possible strategy for evaluating this error. The odometry error is modeled by introducing four parameters characterizing its systematic and nonsystematic compo ...

2002