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Connecting Artificial Brains to Robots in a Comprehensive Simulation Framework: The Neurorobotics Platform

Related publications (100)

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A connectionist model of spatial learning in the rat

Thomas Strösslin

When animals explore an environment, they store useful spatial information in their brains. In subsequent visits, they can recall this information and thus avoid dangerous places or find again a food location. This ability, which may be crucial for the ani ...

EPFL2004

Brain-Actuated Interaction

José del Rocio Millán Ruiz, Wulfram Gerstner

Over the last years evidence has accumulated that shows the possibility to analyze human brain activity on-line and translate brain states into actions such as selecting a letter from a virtual keyboard or moving a robotics device. These initial results ha ...

2004

Cooperative transport of objects of different shapes and sizes

Roderich Gross

This paper addresses the design of control policies for groups of up to 16 simple autonomous mobile robots (called s-bots) for the cooperative transport of heavy objects of different shapes and sizes. The s-bots are capable of establishing physical connect ...

Springer Verlag2004

Restoring Locomotion with a Thought Controlled Mobile Robot

José del Rocio Millán Ruiz

Recent experiments have indicated the possibility to use the brain electrical activity to directly control the movement of robotics or prosthetic devices. In this talk we report results with a portable non-invasive brain-computer interface that makes possi ...

2004

Hardware spiking neural network with run-time reconfigurable connectivity in an autonomous robot

Dario Floreano, Yann Thoma, Daniel Roggen

A cellular hardware implementation of a spiking neural network with run-time reconfigurable connectivity is presented. It is implemented on a compact custom FPGA board which provides a powerful reconfigurable hardware platform for hardware and software des ...

2003

Evolving Spiking Neurons from Wheels to Wings

Dario Floreano, Jean-Christophe Zufferey, Claudio Mattiussi

We give an overview of the EPFL indoor flying project, whose goal is to evolve autonomous, adaptive, indoor micro-flyers. Indoor flight is still a challenge because it requires miniaturization, energy efficiency, and smart control. This ongoing project con ...

2003

Evolving Vision-based Flying Robots

Dario Floreano, Jean-Christophe Zufferey

We describe a new experimental approach whereby an indoor flying robot evolves the ability to navigate in a textured room using only visual information and neuromorphic control. The architecture of a spiking neural circuit, which is connected to the vision ...

2002

Evolutionary Robotics. The Biology, Intelligence, and Technology of Self-organizing Machines

Dario Floreano

Evolutionary robotics is a new technique for the automatic creation of autonomous robots. Inspired by the Darwinian principle of selective reproduction of the fittest, it views robots as autonomous artificial organisms that develop their own skills in clos ...

MIT Press2001

Evolution of Spiking Neural Controllers for Autonomous Vision-based Robots

Dario Floreano, Claudio Mattiussi

We describe a set of preliminary experiments to evolve spiking neural controllers for a vision-based mobile robot. All the evolutionary experiments are carried out on physical robots without human intervention. After discussing how to implement and interfa ...

Springer-Verlag2001

Neural Morphogenesis, Synaptic Plasticity, and Evolution

Dario Floreano, Joseba Urzelai

Morphology plays an important role in the computational properties of neural systems, affecting both their functionality and the way in which this functionality is developed during life. In computer-based models of neural networks, artificial evolution is ...

2001