This is a study on the role of morphological (sensor configuration) and behavioral (control system) adaptation in simulated robot teams that must accomplish cooperative tasks. The research objective was to elucidate the necessary features and computational mechanics of a method that automates the behavior-morphology design of robot teams that must accomplish cooperative tasks (tasks that cannot be optimally solved by individual robots). Results indicate that automating behavior-morphology design is beneficial as task complexity increases, compared to evolving behaviors in fixed morphology teams. However, increased task complexity does not necessarily equate to the evolution of increased morphological complexity in teams
The impact of the environment on evolving increasingly complex morphologies (bodies) and controllers...
An unsolved problem in both natural and artificial evolutionary systems is determining the exact env...
This dissertation evaluates evolutionary methods for evolving cooperative teams of robots. Cooperati...
This is a study on the role of morphological (sensor configuration) and behavioral (control system) ...
This paper presents a study on the impact of different robot sensory configurations (morphologies) i...
This research falls within evolutionary robotics and the larger taxonomy of cooperative multi-robot ...
This paper presents a study on methods for bodybrain (behavior-morphology) co-evolution in a collect...
This study evaluates a Neuro-Evolution (NE) method for controller evolution in simulated robot teams...
This study investigates the impact of imposing a cost on morphological complexity given co-adapting ...
The evolutionary cost of morphological complexity in biological populations remains an open question...
In nature, morphological diversity enhances functional diversity, however, there is little swarm (c...
This article comparatively tests three cooperative co-evolution methods for automated controller des...
Evolutionary robotics is a promising approach to overcoming the limitations and biases of human desi...
The principles of embodied cognition dictate that intelligent behavior must arise out of the coupled...
This study evaluates comparative behavioral search methods for evolutionary controller design in rob...
The impact of the environment on evolving increasingly complex morphologies (bodies) and controllers...
An unsolved problem in both natural and artificial evolutionary systems is determining the exact env...
This dissertation evaluates evolutionary methods for evolving cooperative teams of robots. Cooperati...
This is a study on the role of morphological (sensor configuration) and behavioral (control system) ...
This paper presents a study on the impact of different robot sensory configurations (morphologies) i...
This research falls within evolutionary robotics and the larger taxonomy of cooperative multi-robot ...
This paper presents a study on methods for bodybrain (behavior-morphology) co-evolution in a collect...
This study evaluates a Neuro-Evolution (NE) method for controller evolution in simulated robot teams...
This study investigates the impact of imposing a cost on morphological complexity given co-adapting ...
The evolutionary cost of morphological complexity in biological populations remains an open question...
In nature, morphological diversity enhances functional diversity, however, there is little swarm (c...
This article comparatively tests three cooperative co-evolution methods for automated controller des...
Evolutionary robotics is a promising approach to overcoming the limitations and biases of human desi...
The principles of embodied cognition dictate that intelligent behavior must arise out of the coupled...
This study evaluates comparative behavioral search methods for evolutionary controller design in rob...
The impact of the environment on evolving increasingly complex morphologies (bodies) and controllers...
An unsolved problem in both natural and artificial evolutionary systems is determining the exact env...
This dissertation evaluates evolutionary methods for evolving cooperative teams of robots. Cooperati...