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Automatic Self-Calibration of a Vision System during Robot Motion

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Embedded 3D vision system for automated micro-assembly

Heinz Hügli

Machine vision plays an important role in automated assembly. However, present vision systems are not adequate for robot control in an assembly environment where individual components have sizes in the range of 1 to 100 micrometers, since current systems d ...

2006

Multi-Robot Localization Using Relative Observations

Roland Siegwart, Frédéric Pont

In this paper we consider the problem of simultaneously localizing all members of a team of robots. Each robot is equipped with proprioceptive sensors and exteroceptive sensors. The latter provide relative observations between the robots. Proprioceptive an ...

2005

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

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

Miniature Cameras for Ultra-Light Flying Robots

Adam Klaptocz

The Laboratory of Intelligent Systems (LIS) at the Swiss Federal Technical Institute at Lausanne (EPFL) is working on a project to create an autonomous flying robot that uses ‘vision’ (i.e. optical flow) to maneuver through small spaces such as corridors i ...

2005

A Control Method for Stable and Smooth Path Following of Mobile Robots

Roland Siegwart

This paper addresses the problem of mobile robot navigation in indoor cluttered environments. A new algorithm for both longitudinal and lateral real-time control of wheel-based mobile robots has been proposed. Its main characteristic is smooth and stable f ...

2005

Improving the SLAM Convergence with a Relative Map Filter

Roland Siegwart

This paper presents an approach to solve the SLAM problem in the stochastic map framework based on the concept of the relative map. The idea consists in introducing a map state, which only contains quantities invariant under translation and rotation. This ...

2004

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

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

Roland Siegwart, Nicola Tomatis

This paper starts with a discussion of the open challenges in the SLAM problem. In our opinion they can be grouped in two main and distinct areas: convergence of the built map and computation requirement for real world application. To deal with the previou ...

2004