This paper presents a study on the impact of different robot sensory configurations (morphologies) in simulated robot teams that must accomplish a collective (cooperative) behavior task. The study’s objective was to investigate if effective collective behaviors could be efficiently evolved given minimal morphological complexity of individual robots in an homogenous team. A range of sensory configurations are tested in company with evolved controllers for a collective construction task. Results indicate that a minimal sensory configuration yields the highest task performance, and increasing the complexity of the sensory configuration does not yield an increased task performance
This study evaluates comparative behavioral search methods for evolutionary controller design in rob...
We report on recent work in which we employed artificial evolution to design neural network controll...
The interest for cooperative robots has increased considerably in recent years and one of the resear...
This paper presents a study on the impact of different robot sensory configurations (morphologies) i...
This is a study on the role of morphological (sensor configuration) and behavioral (control system) ...
This research falls within evolutionary robotics and the larger taxonomy of cooperative multi-robot ...
This study evaluates a Neuro-Evolution (NE) method for controller evolution in simulated robot teams...
This paper presents a study on methods for bodybrain (behavior-morphology) co-evolution in a collect...
This article comparatively tests three cooperative co-evolution methods for automated controller des...
This dissertation evaluates evolutionary methods for evolving cooperative teams of robots. Cooperati...
The impact of the environment on evolving increasingly complex morphologies (bodies) and controllers...
This research aims to evaluate the performance of evolutionary controller design methods for develop...
In this thesis, we use evolutionary robotics techniques to automatically design and synthesisebehavi...
The design of effective, robust and autonomous controllers for multi-agent and multi-robot systems i...
This study investigates the impact of imposing a cost on morphological complexity given co-adapting ...
This study evaluates comparative behavioral search methods for evolutionary controller design in rob...
We report on recent work in which we employed artificial evolution to design neural network controll...
The interest for cooperative robots has increased considerably in recent years and one of the resear...
This paper presents a study on the impact of different robot sensory configurations (morphologies) i...
This is a study on the role of morphological (sensor configuration) and behavioral (control system) ...
This research falls within evolutionary robotics and the larger taxonomy of cooperative multi-robot ...
This study evaluates a Neuro-Evolution (NE) method for controller evolution in simulated robot teams...
This paper presents a study on methods for bodybrain (behavior-morphology) co-evolution in a collect...
This article comparatively tests three cooperative co-evolution methods for automated controller des...
This dissertation evaluates evolutionary methods for evolving cooperative teams of robots. Cooperati...
The impact of the environment on evolving increasingly complex morphologies (bodies) and controllers...
This research aims to evaluate the performance of evolutionary controller design methods for develop...
In this thesis, we use evolutionary robotics techniques to automatically design and synthesisebehavi...
The design of effective, robust and autonomous controllers for multi-agent and multi-robot systems i...
This study investigates the impact of imposing a cost on morphological complexity given co-adapting ...
This study evaluates comparative behavioral search methods for evolutionary controller design in rob...
We report on recent work in which we employed artificial evolution to design neural network controll...
The interest for cooperative robots has increased considerably in recent years and one of the resear...