Evobot.com
Evolutionary Robotics

Evobot.com is an informational site concerning current and future applications in the field of evolutionary robotics. Biological life adapts to varies in its ecology to survive and flourish. At the dimension of discrete organisms, neural cells alteration in structure and connections as they learn what works and what does not work with respect to survival. At the stage of species, genetic patterns alteration with mate selection and reproduction. On a broader dimension, genetic drift and mutations will generally modification organism characteristics in a more dramatic way. The latter two processes, combined with natural selection, form the foundation of evolution. The principles of evolution are beginning to be applied to the sector of robotics. An evolutionary robot, or "Evobot," is a robot with the capacity to learn at the discrete scale, adapt to changing surroundings, and selectively reproduce (in software and/or hardware) in a fashion that improves its chances of survival. Humans learn related to their ecology through their senses of sight, hearing, contact, taste and smell. Robots can furthermore be equipped with sensory inputs to learn concerning their ecology. These input media may include: sight (e.g. configuration and gesture recognition, movement perception, magnetism-based signals above and below the visible spectrum); sound (e.g. speech recognition, sonar and radar); handle (haptic sensors, tactile sensors, pressure and temperature monitors); taste (chemical sensors) and smell. Complex, successful organisms will likely result from the synergistic operation of rudimentary, automatic adaptive mechanisms. In the field of evolutionary robotics, these concepts are applied to robot innovation. Rather than creation robots whose components and software are fully specified, evobots are produced with simple, adaptive mechanisms and selective reproductive capability. Over time, their programming adapts to their biosphere. Biological knowledge and memory retention are now thought to come from the assembly and modification of the synaptic connections among neurons. An analogous process occurs as artificial neural networks learn and remember patterns, except that the connections take the form of mathematical models and electrical impulses instead of neurotransmitters. Click on pictures to learn more about biotechnology/neurotechnology T-shirts: Questions and suggestions concerning the site Evobot.com may be sent to: Evobot.com © 2006 by Evobot.com