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Evolution of Embodied Intelligence

Publications associées (66)

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Darwinian Dynamics of Embodied Chaotic Exploration

Joshua Evan Auerbach

We present Embodied Chaotic Exploration (ECE), a novel direction of research into a possible candidate for Darwinian neural dynamics, where such dynamics are occurring not at the level of synaptic connections, but rather at the slightly higher and more abs ...

ACM Press2016

Distributed vs. Centralized Particle Swarm Optimization for Learning Flocking Behaviors

Alcherio Martinoli, Inaki Navarro Oiza, Ezequiel Leonardo Di Mario

In this paper we address the automatic synthesis of controllers for the coordinated movement of multiple mobile robots. We use a noise-resistant version of Particle Swarm Optimization to learn in simulation a set of 50 weights of a plastic artificial neura ...

The MIT Press2015

Adaptive Morphology for Multi-Modal Locomotion

Ludovic Daler

There is a growing interest in using robots in dangerous environments, such as for exploration, search-and-rescue or monitoring applications, in order to reduce the risks for workers or rescuers and to improve their efficiency. Typically, flying robots off ...

EPFL2015

Decentralized multi-robot coordination in crowded workspaces

Laleh Makarem

The coordination of multi-robot systems is becoming one of the most important areas of research in robotics, mostly because it is required by numerous complex applications. These applications range from intelligent transportation systems, search and rescue ...

EPFL2015

Rapid Evolution of Robot Gaits

Dario Floreano, Joshua Evan Auerbach, Przemyslaw Mariusz Kornatowski, Grégoire Hilaire Marie Heitz

The promise of Evolutionary Robotics (ER) to completely automatize the design of robot controllers and/or morphologies is an idea with great appeal not only to researchers, but also to students. However, when attempting to grab and hold student interest, t ...

ACM2015

The Evolution of Complexity in Autonomous Robots

Joshua Evan Auerbach

Evolutionary robotics–the use of evolutionary algorithms to automate the production of autonomous robots–has been an active area of research for two decades. However, previous work in this domain has been limited by the simplicity of the evolved robots and ...

University of Vermont2013

Twitching in Sensorimotor Development from Sleeping Rats to Robots

It is still not known how the ‘rudimentary’ movements of fetuses and infants are transformed into the coordinated, flexible and adaptive movements of adults. In addressing this important issue, we consider a behavior that has been perennially viewed as a f ...

Elsevier2013

On the Relationship Between Environmental and Mechanical Complexity in Evolved Robots

Joshua Evan Auerbach

According to the principles of embodied cognition, intelligent behavior must arise out of the coupled dynamics of an agent's brain, body, and environment. This suggests that the morphological complexity of a robot should scale in relation to the complexity ...

MIT Press2012

Transfer Learning of Visual Concepts across Robots: a Discriminative Approach

Barbara Caputo, Tatiana Tommasi

While there is a general consensus that autonomous robots should be able to learn continuously over time, the learning process is traditionally envisioned for each specific robot situated in a given environment. This does not consider the fact that robots ...

Idiap2012

Enabling Large-Scale Collective Systems in Outdoor Aerial Robotics

Severin Leven

For many real-life applications such as monitoring, mapping, search-and-rescue or ad-hoc communication networks, fleets of flying robots are expected to out-perform existing solutions. Robots can join forces to cover larger areas in less time, act as effic ...

EPFL2011