20 papers · ranked by Valyu relevance
Dario Floreano, Laurent Keller
The first proposal that Darwinian selection could generate efficient control systems can be attributed to Alan Turing in the 1950s. He suggested that intelligent machines capable of adaptation and learning would be too difficult to conceive by a human designer and could instead be obtained by using an evolutionary…
Ágoston E. Eiben, Jacintha Ellers, Gerben Meynen, Sven Nyholm
Rapid developments in evolutionary computation, robotics, 3D-printing, and material science are enabling advanced systems of robots that can autonomously reproduce and evolve. The emerging technology of robot evolution challenges existing AI ethics because the inherent adaptivity, stochasticity, and complexity of…
Reem Alattas, Sarosh Patel, Tarek Sobh
Reem J. Alattas is a Ph.D. candidate majoring in Computer Science and Engineering at the University of Bridgeport. She received her B.Sc. and M.Sc. in Computer Science from King Saud University. Reem is a member of several professional organizations including; IEEE, SWE, Phi Kappa Phi, and PMI. Her current research…
A.E. Eiben
This paper takes a critical look at the concept of real-world robot evolution discussing specific challenges for making it practicable. After a brief review of the state of the art several enablers are discussed in detail. It is noted that sample efficient evolution is one of the key prerequisites and there are various…
Gongjin Lan, Maarten van Hooft, Matteo De Carlo, Jakub M. Tomczak + 1 more
'A. E. Eiben'] The challenge of robotic reproduction –making of new robots by recombining two existing ones– has been recently cracked and physically evolving robot systems have come within reach. Here we address the next big hurdle: producing an adequate brain for a newborn robot. In particular, we address the task of…
Jie Luo, Karine Miras, Jakub M. Tomczak, A. E. Eiben
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 experiments regarding questions about evolution. Our study sits at the intersection of these. We investigate the question "What if the…
Alan F. T. Winfield
The use of evolutionary robotic systems to model aspects of evolutionary biology is well-established. Yet, few studies have asked the question, “What kind of model is an evolutionary robotic system?” This paper seeks to address that question in several ways. First, it is addressed by applying a structured model…
Tønnes F. Nygaard, Charles Martín, Eivind Samuelsen, Jim Tørresen + 1 more
'Kyrre Glette'] For robots to handle the numerous factors that can affect them in the real world, they must adapt to changes and unexpected events. Evolutionary robotics tries to solve some of these issues by automatically optimizing a robot for a specific environment. Most of the research in this field, however, uses…
Renata B. Biazzi, André Fujita, Daniel Y. Takahashi
Active, directed locomotion on the ground is present in many phylogenetically distant species. Bilateral symmetry and modularity of the body are common traits often associated with improved directed locomotion. Nevertheless, both features result from natural selection, which is contingent (history-dependent) and…
Andrea Roli, Stuart A. Kauffman
Since early cybernetics studies by Wiener, Pask, and Ashby, the properties of living systems are subject to deep investigations. The goals of this endeavour are both understanding and building: abstract models and general principles are sought for describing organisms, their dynamics and their ability to produce…
Fuda van Diggelen, Eliseo Ferrante, A. E. Eiben
Evolving morphologies and controllers of robots simultaneously leads to a problem: Even if the parents have well-matching bodies and brains, the stochastic recombination can break this match and cause a body-brain mismatch in their offspring. We argue that this can be mitigated by having newborn robots perform a…
Hari Mohan Pandey
This paper reviews various Evolutionary Approaches applied to the domain of Evolutionary Robotics with the intention of resolving difficult problems in the areas of robotic design and control. Evolutionary Robotics is a fast-growing field that has attracted substantial research attention in recent years. The paper thus…
Andrea Roli, Stuart Kauffman
Mixed microbial communities, usually composed of various bacterial and fungal species, are fundamental in a plethora of environments, from soil to human gut and skin. Their evolution is a paradigmatic example of intertwined dynamics, where not just the relations among species plays a role, but also the…
Stefano Nolfi, Paolo Pagliuca
We investigate the use of competitive co-evolution for synthesizing progressively better solutions. Specifically, we introduce a set of methods to measure historical and global progress. We discuss the factors that facilitate genuine progress. Finally, we compare the efficacy of four qualitatively different algorithms.…
Ryusuke Fujisawa, Genki Ichinose, Shigeto Dobata
The evolution of complexity is one of the prime features of life on Earth. Although well accepted as the product of adaptation, the dynamics underlying the evolutionary build-up of complex adaptive systems remains poorly resolved. Using simulated robot swarms that exhibit ant-like group foraging with trail pheromones…
Arthur Bernard, Nicolas Bredeche, Jean-Baptiste André
Evolutionary game theory shows that social interactions involving coordination between individuals are subject to an “evolutionary trap.” Once a suboptimal strategy has evolved, mutants playing an alternative strategy are counterselected because they fail to coordinate with the majority. This creates a detrimental…
Zhengde Wei, Ying Chen, Jiecheng Ren, Yi Piao + 9 more
A deeper understanding of the human side of human-robot interaction determined by studying the human brain when we perceive robots should help solve the biggest challenges of successful social encounters with robots. However, current social neuroscience studies mainly focus on explicit perception of robots, and…
Authors not listed
Machine olfaction—the artificial replication of the sense of smell—faces significant challenges due to the absence of large, standardized training datasets. Unlike vision, language, and audio models, which benefit from extensive corpora such as ImageNet, GLUE, and AudioSet, olfaction lacks scaled equivalents and…
Authors not listed
The emergence of affordable and reliable 3D printers has enabled laboratories to optimize setups, print custom parts, accelerate research, and rapidly prototype. A new movement has emerged in the past decade, where 3D printers are repurposed as laboratory-specific robots. There are three distinct approaches in the…
Authors not listed
Designing molecules with specific target properties remains a fundamental challenge in computational chemistry. While existing approaches show promise, most rely on simplified representations like SMILES strings or 2D graphs that lack essential three-dimensional geometric information. We present EvoDiffMol, a…