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CEC
2005
IEEE
15 years 3 months ago
Finding attack strategies for predator swarms using genetic algorithms
Abstract- Behavior based architectures have many parameters that must be tuned to produce effective and believable agents. We use genetic algorithms to tune simple behavior based c...
Ryan E. Leigh, Tony Morelli, Sushil J. Louis, Moni...
62
Voted
AIIA
2003
Springer
15 years 2 months ago
Evolving the Neural Controller for a Robotic Arm Able to Grasp Objects on the Basis of Tactile Sensors
We describe the results of a set of evolutionary experiments in which a simulated robotic arm provided with a two-fingered hand has to reach and grasp objects with different shape...
Raffaele Bianco, Stefano Nolfi
ATAL
2005
Springer
15 years 3 months ago
Performance of digital pheromones for swarming vehicle control
The use of digital pheromones for controlling and coordinating swarms of unmanned vehicles is studied under various conditions to determine their effectiveness in multiple militar...
John A. Sauter, Robert S. Matthews, H. Van Dyke Pa...
GECCO
2009
Springer
130views Optimization» more  GECCO 2009»
15 years 4 months ago
The impact of jointly evolving robot morphology and control on adaptation rate
Embodied cognition emphasizes that intelligent behavior results from the coupled dynamics between an agent’s body, brain and environment. In response to this, several projects h...
Josh C. Bongard
ECAL
2003
Springer
15 years 2 months ago
Evolving Fractal Gene Regulatory Networks for Robot Control
Fractal proteins are a new evolvable method of mapping genotype to phenotype through a developmental process, where genes are expressed into proteins comprised of subsets of the Ma...
Peter J. Bentley