4 papers
Lamarckian Inheritance Improves Robot Evolution in Dynamic Environments
Jie Luo, Karine Miras, Carlo Longhi +2
This study explores the integration of Lamarckian system into evolutionary robotics (ER), comparing it with the traditional Darwinian model across various environments. By adopting…
A comparison of controller architectures and learning mechanisms for arbitrary robot morphologies
Jie Luo, Jakub Tomczak, Karine Miras +1
The main question this paper addresses is: What combination of a robot controller and a learning method should be used, if the morphology of the learning robot is not known in adva…
Lamarck's Revenge: Inheritance of Learned Traits Can Make Robot Evolution Better
Jie Luo, Karine Miras, Jakub Tomczak +1
Evolutionary robot systems offer two principal advantages: an advanced way of developing robots through evolutionary optimization and a special research platform to conduct what-if…
Open-endedness induced through a predator-prey scenario using modular robots
Dimitri Kachler, Karine Miras
This work investigates how a predator-prey scenario can induce the emergence of Open-Ended Evolution (OEE). We utilize modular robots of fixed morphologies whose controllers are su…