Learning directed locomotion in modular robots with evolvable morphologies
The vision behind this paper looks ahead to evolutionary robot systems where morphologies
and controllers are evolved together and 'newborn'robots undergo a learning process to …
and controllers are evolved together and 'newborn'robots undergo a learning process to …
An empirical analysis of cloud based robotics: challenges and applications
Applications of robots play an important role in autonomous systems, and with the dawning
of cloud computing technologies, it can be upgraded to another level. This paper presents …
of cloud computing technologies, it can be upgraded to another level. This paper presents …
Lamarckian evolution of simulated modular robots
We study evolutionary robot systems where not only the robot brains but also the robot
bodies are evolvable. Such systems need to include a learning period right after 'birth'to …
bodies are evolvable. Such systems need to include a learning period right after 'birth'to …
Revolve: a versatile simulator for online robot evolution
E Hupkes, M Jelisavcic, AE Eiben - … 2018, Parma, Italy, April 4-6, 2018 …, 2018 - Springer
Developing robotic systems that can evolve in real-time and real-space is a long term
objective with technological as well as algorithmic milestones on the road. Technological …
objective with technological as well as algorithmic milestones on the road. Technological …
Enhancing robot evolution through Lamarckian principles
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 …
robots through evolutionary optimization and a special research platform to conduct what-if …
A survey on evolutionary-aided design in robotics
The evolutionary-aided design process is a method to find solutions to design and
optimisation problems. Evolutionary algorithms (EAs) are applied to search for optimal …
optimisation problems. Evolutionary algorithms (EAs) are applied to search for optimal …
Towards Physically Talented Aerial Robots with Tactically Smart Swarm Behavior thereof: An Efficient Co-design Approach
The collective performance or capacity of collaborative autonomous systems such as a
swarm of robots is jointly influenced by the morphology and the behavior of individual …
swarm of robots is jointly influenced by the morphology and the behavior of individual …
Evosphere: The world of robot evolution
AE Eiben - Theory and Practice of Natural Computing: Fourth …, 2015 - Springer
In this paper I describe EvoSphere, a tangible realization of the general Evolution of Things
concept. EvoSphere can be used as a research platform to study the evolution of intelligent …
concept. EvoSphere can be used as a research platform to study the evolution of intelligent …
Self-organizing intelligent matter: A blueprint for an ai generating algorithm
K Gregor, F Besse - arXiv preprint arXiv:2101.07627, 2021 - arxiv.org
We propose an artificial life framework aimed at facilitating the emergence of intelligent
organisms. In this framework there is no explicit notion of an agent: instead there is an …
organisms. In this framework there is no explicit notion of an agent: instead there is an …
Lamarck's Revenge: Inheritance of Learned Traits Can Make Robot Evolution Better
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 …
robots through evolutionary optimization and a special research platform to conduct what-if …