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Sense in Motion with Belief Clustering: Efficient Gas Source Localization with Mobile Robots

Related publications (40)

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Parallel Learning in Heterogeneous Multi-Robot Swarms

Alcherio Martinoli, James Pugh

Designing effective behavioral controllers for mobile robots can be difficult and tedious; this process can be circumvented by using unsupervised learning techniques which allow robots to evolve their own controllers in an automated fashion. In multi-robot ...

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

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

Semiparametric Latent Factor Models

Matthias Seeger

We propose a semiparametric model for regression problems involving multiple response variables. The model makes use of a set of Gaussian processes that are linearly mixed to capture dependencies that may exist among the response variables. We propose an e ...

2005

SLAM with Corner Features Based on a Relative Map

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 based on quantities invariant of the robot's configuration

Roland Siegwart, Nicola Tomatis

2004

Motion planning and obstacle avoidance for mobile robots in highly cluttered dynamic environments

Roland Philippsen

After a quarter century of mobile robot research, applications of this fascinating technology appear in real-world settings. Some require operation in environments that are densely cluttered with moving obstacles. Public mass exhibitions or conventions are ...

EPFL2004

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

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

The Accuracy on the Parameter Estimation of an Odometry System of a Mobile Robot

The odometry error of a mobile robot contains both sys- tematic and non-systematic components. The first ones are independent of the environment while the second ones depend on the interaction of the robot with the environ- ment where the robot moves. In t ...

2002