<p>(a) Robot densities in the experimental arena of as a function of time (average of 30 runs). Despite having identical controllers, robots segregate quickly between the source and cache areas, thereby avoiding the costly traverse of the slope. (b) Robot trajectory on the arena and cache size in a typical evaluation run. All robots first move to the source to collect items, but after 500–1000 s into the simulation, the robot teams self-organize to have two droppers pushing items off the slope and two robots collecting items from the cache, without these tasks having been explicitly rewarded during the evolutionary runs.</p
This paper describes a robotic system which uses evolution to continuously adapt a group of heteroge...
Embodied evolutionary robotics is an on-line distributed learning method used in collective robotics...
Decentralized control for multirobot systems is difficult to design by hand because the behavioral r...
<p>The degree of task specialization (Y axis) is measured as the proportion of items retrieved by mo...
Division of labor is ubiquitous in biological systems, as evidenced by various forms of complex task...
Division of labor is ubiquitous in biological systems, as evidenced by various forms of com-plex tas...
Division of labor is ubiquitous in biological systems, as evidenced by various forms of complex task...
In this paper I claim that one of the main characteristics that makes the Evolutionary Robotics appr...
This article comparatively tests three cooperative co-evolution methods for automated controller des...
Recently, a new approach involving a form of simulated evolution has been proposed to build autonomo...
In this work, we study behavioral specialization in a swarm of autonomous robots. In the studied swa...
Evolutionary robotics (ER) is a powerful approach for the automatic synthesis of robot controllers, ...
Autonomous software has become a large part of everyday society. They drive our cars, deliver our pa...
Artificial evolution of robot behavior is commonly conducted in environments containing a single rob...
Many mobile robot tasks can be most efficiently solved when a group of robots is utilized. The type ...
This paper describes a robotic system which uses evolution to continuously adapt a group of heteroge...
Embodied evolutionary robotics is an on-line distributed learning method used in collective robotics...
Decentralized control for multirobot systems is difficult to design by hand because the behavioral r...
<p>The degree of task specialization (Y axis) is measured as the proportion of items retrieved by mo...
Division of labor is ubiquitous in biological systems, as evidenced by various forms of complex task...
Division of labor is ubiquitous in biological systems, as evidenced by various forms of com-plex tas...
Division of labor is ubiquitous in biological systems, as evidenced by various forms of complex task...
In this paper I claim that one of the main characteristics that makes the Evolutionary Robotics appr...
This article comparatively tests three cooperative co-evolution methods for automated controller des...
Recently, a new approach involving a form of simulated evolution has been proposed to build autonomo...
In this work, we study behavioral specialization in a swarm of autonomous robots. In the studied swa...
Evolutionary robotics (ER) is a powerful approach for the automatic synthesis of robot controllers, ...
Autonomous software has become a large part of everyday society. They drive our cars, deliver our pa...
Artificial evolution of robot behavior is commonly conducted in environments containing a single rob...
Many mobile robot tasks can be most efficiently solved when a group of robots is utilized. The type ...
This paper describes a robotic system which uses evolution to continuously adapt a group of heteroge...
Embodied evolutionary robotics is an on-line distributed learning method used in collective robotics...
Decentralized control for multirobot systems is difficult to design by hand because the behavioral r...