The Effects of the Environment and Linear Actuators on Robot Morphologies

by   Steven Oud, et al.
Vrije Universiteit Amsterdam

The field of evolutionary robotics uses principles of natural evolution to design robots. In this paper, we study the effect of adding a new module inspired by the skeletal muscle to the existing RoboGen framework: the linear actuator. Additionally, we investigate how robots evolved in a plain environment differ from robots evolved in a rough environment. We consider the task of directed locomotion for comparing evolved robot morphologies. The results show that the addition of the linear actuator does not have a significant impact on the performance and morphologies of robots evolved in a plain environment. However, we find significant differences in the morphologies of robots evolved in a plain environment and robots evolved in a rough environment. We find that more complex behavior and morphologies emerge when we change the terrain of the environment.


A Comparative Study of Brain Reproduction Methods for Morphologically Evolving Robots

In the most extensive robot evolution systems, both the bodies and the b...

On an Immuno-inspired Distributed, Embodied Action-Evolution cum Selection Algorithm

Traditional Evolutionary Robotics (ER) employs evolutionary techniques t...

Evolving neural networks to follow trajectories of arbitrary complexity

Many experiments have been performed that use evolutionary algorithms fo...

Neuroevolution on the Edge of Chaos

Echo state networks represent a special type of recurrent neural network...

Environmental regulation using Plasticoding for the evolution of robots

Evolutionary robot systems are usually affected by the properties of the...

Impact of Energy Efficiency on the Morphology and Behaviour of Evolved Robots

Most evolutionary robotics studies focus on evolving some targeted behav...

Towards the Targeted Environment-Specific Evolution of Robot Components

This research considers the task of evolving the physical structure of a...

Please sign up or login with your details

Forgot password? Click here to reset