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

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Segregation in swarms of mobile robots based on the Brazil nut effect

Francesco Mondada, Stéphane Magnenat, Roderich Gross

We study a simple algorithm inspired by the Brazil nut effect for achieving segregation in a swarm of mobile robots. The algorithm lets each robot mimic a particle of a certain size and broadcast this information locally. The motion of each particle is con ...

IEEE Computer Society Press2009

Planner9, a HTN planner distributed on groups of miniature mobile robots

Francesco Mondada, Stéphane Magnenat, Martin Voelkle

Autonomous mobile robots are promising tools for operations in environments that are difficult to access for humans. When these environments are dynamic and non-deterministic, like in collapsed buildings, the robots must coordinate their actions and the us ...

Springer2009

An Exploration of Online 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 online in an automated fashion. In mult ...

Springer2008

Control of legged locomotion using dynamical systems

Ludovic Righetti

Legged robots have gained an increased attention these past decades since they offer a promising technology for many applications in unstructured environments where the use of wheeled robots is clearly limited. Such applications include exploration and res ...

EPFL2008

Containment Control in Mobile Networks

Giancarlo Ferrari Trecate

In this paper, the problem of driving a collection of mobile robots to a given target destination is studied. In particular, we are interested in achieving this transfer in an orderly manner so as to ensure that the agents remain in the convex polytope spa ...

2008

Parallel Learning in Heterogeneous Multi-Robot Swarms

Alcherio Martinoli, James Pugh

2007

3D Vision-based Navigation for Indoor Microflyers

Dario Floreano, Jean-Christophe Zufferey, Antoine Beyeler

Fully autonomous control of ultra-light indoor airplanes has not yet been achieved because the strong limitations on the kind of sensors that can be embedded make it difficult to obtain good estimations of altitude. We propose to revisit altitude control b ...

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

Stereo-Based Ego-Motion Estimation Using Pixel Tracking and Iterative Closest Point

Roland Siegwart

In this paper, we present a stereovision algorithm for real-time 6DoF ego-motion estimation, which integrates normalized cross-correlation-based feature tracking and 3D stereo information in the well-known Iterative Closest Point (ICP) scheme. The proposed ...

2006