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CEC
2007
IEEE
15 years 4 months ago
Combine and compare evolutionary robotics and reinforcement Learning as methods of designing autonomous robots
—The purpose of this paper is to present a comparison between two methods of building adaptive controllers for robots. In spite of the wide range of techniques which are used for...
Sergiu Goschin, Eduard Franti, Monica Dascalu, San...
CEC
2008
IEEE
15 years 4 months ago
Neuro-evolving maintain-station behavior for realistically simulated boats
— We evolve a neural network controller for a boat that learns to maintain a given bearing and range with respect to a moving target in the Lagoon 3D game environment. Simulating...
Nathan A. Penrod, David Carr, Sushil J. Louis, Bob...
ECAL
2005
Springer
15 years 3 months ago
(Co)Evolution of (De)Centralized Neural Control for a Gravitationally Driven Machine
Using decentralized control structures for robot control can offer a lot of advantages, such as less complexity, better fault tolerance and more flexibility. In this paper the ev...
Steffen Wischmann, Martin Hülse, Frank Pasema...
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HCI
2007
14 years 11 months ago
A Note on Brain Actuated Spelling with the Berlin Brain-Computer Interface
Brain-Computer Interfaces (BCIs) are systems capable of decoding neural activity in real time, thereby allowing a computer application to be directly controlled by the brain. Since...
Benjamin Blankertz, Matthias Krauledat, Guido Dorn...
AROBOTS
2004
119views more  AROBOTS 2004»
14 years 9 months ago
Swarm-Bot: A New Distributed Robotic Concept
The swarm intelligence paradigm has proven to have very interesting properties such as robustness, flexibility and ability to solve complex problems exploiting parallelism and self...
Francesco Mondada, Giovanni C. Pettinaro, Andr&eac...