Evolutionary robotics and artificial life
Supervisor: Dr R Gross
Self-assembly processes are responsible for the generation of order in nature. They involve components at different scales, such as molecules, cells, organisms, and weather systems. Scientists across many disciplines believe that the study of physical models of self-assembly can help in understanding nature and in advancing technology.
This project investigates life as it could be. It uses computer simulation to study self-assembly as a means by which intelligent composite entities form and exhibit properties of living beings such as growth, development, self-repair, reproduction. The entities would ultimately change through an evolutionary process and hence could be considered as novel forms of life. The project is expected to help develop a fundamental understanding of evolutionary processes.
The project will be carried out in the Natural Robotics Lab .
Prospective applicants should have a degree in a relevant subject (computer science, engineering, physics, biology, artificial intelligence, psychology, mathematics, robotics etc) and good experience in programming.
Dr R Gross
- Tel: +44 (0) 114 222 5610