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Open Challenges in SLAM: An Optimal Solution Based on Shift and Rotation Invariants

Related publications (35)

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Software integration in mobile robotics, a science to scale up machine intelligence

Stéphane Magnenat

The present work tackles integration in mobile robotics. Integration is often considered to be a mere technique, unworthy of scientific investigation. On the contrary, we show that integrating capabilities in a mobile robot entails new questions that the p ...

EPFL2010

View-Based Maps

Pascal Fua, Vincent Lepetit, Michael Calonder

Robotic systems that can create and use visual maps in realtime have obvious advantages in many applications, from automatic driving to mobile manipulation in the home. In this paper we describe a mapping system based on retaining views of the environment ...

2009

Tactile Correction and Multiple Training Data Sources for Robot Motion Control

Aude Billard, Eric Sauser, Brenna Dee Argall

This work considers our approach to robot motion control learning from the standpoint of multiple data sources. Our paradigm derives data from human teachers providing task demonstrations and tactile corrections for policy refinement and reuse. We contribu ...

2009

Multi-Robot Exploration and Fire Searching

Ali Marjovi

Exploration of an unknown environment is a fundamental concern in mobile robotics. This paper presents an approach for cooperative multi-robot exploration, fire searching and mapping in an unknown environment. The proposed approach aims to minimize the ove ...

IEEE2009

Handling of multiple constraints and motion alternatives in a robot programming by demonstration framework

Aude Billard, Sylvain Calinon, Florent D'Halluin

We consider the problem of learning robust models of robot motion through demonstration. An approach based on Hidden Markov Model (HMM) and Gaussian Mixture Regression (GMR) is proposed to extract redundancies across multiple demonstrations, and build a ti ...

2009

The Cost of Reality: Effects of Real-World Factors on Multi-Robot Search

Alcherio Martinoli, James Pugh

Designing algorithms for multi-robot systems can be a complex and difficult process: the cost of such systems can be very high, collecting experimental data can be time consuming, and individual robots may malfunction, invalidating experiments. These const ...

2007

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

3D SLAM using Planar Segments

Roland Siegwart, Jan Weingarten

This paper presents an improved feature-based 3D SLAM approach for a mobile robot equipped with a rotating laser scanner. The features are represented within the SPmodel, with associated planar segment information based on decimated triangle sets. An Exten ...

2006

EKF-based 3D SLAM for Structured Environment Reconstruction

Roland Siegwart, Jan Weingarten

This paper presents the extension and experimental validation of the widely used EKF1-based SLAM2 algorithm to 3D space. It uses planar features extracted probabilistically from dense three-dimensional point clouds generated by a rotating 2D laser scanner. ...

2005