Evolutionary robotics: The biology, intelligence, and technology of self-organizing machines

By J. Krichmar. Complex, 2001

1,140 citations recorded by the source corpus.

Subfields: Computer Networks and Communications, Computer Vision and Pattern Recognition, Mechanical Engineering

View Paper: https://www.semanticscholar.org/paper/e8e52c2000e558c5e2405e9b4bec3486a9363021

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In Computer Networks and Communications

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In Mechanical Engineering

Citations in the corpus

Stretchable nanoparticle conductors with self-organized conductive pathways (2013, methodology): “The application of LBL allowed us to (1) reach highnanoparticle loadings, (2)maintain the uniformity of nanoparticle distribution throughout thematerial, and (3) make adequate comparisons between nanoparticle composites with different nanoscale fillers(22).”
Please Scroll down for Article Connection Science Developmental Robotics: a Survey Developmental Robotics: a Survey (2003, neutral): “A growing body of evidence supports, however, a more interactive, dynamic and embodied view of how categories are formed (Lakoff and Johnson 1999, Pfeifer and Scheier 1999, Nolﬁ and Floreano 2000).”
From evolutionary computation to the evolution of things (2015, background): “Evolutionary robotics 40 is an especially challenging application area because of two additional issues that other branches of EC do not face: the very weak and noisy link between controllable design details and the target feature(s); and the great variety of conditions under which a solution…”
Genetic and Evolutionary Computation — GECCO 2003 (2003, methodology): “[13] already claimed that the essence of the operon is to introduce correlations between formerly independent genes in order to adopt the functional dependence between the genes and their phenotypic effects and thereby increase the probability of successful variations.”
Horizons for the Enactive Mind: Values, Social Interaction, and Play (2010, background): “Enactivism thus differs from other nonrepresentational views such as Gibsonian ecological psychology on this point ( Varela, Thompson, and Rosch 1991 , 203 – 204).”
Evolutionary robotics (2014, background): “Over the last fifteen years, evolutionary robotics has developed from the novel field described in Nolfi and Floreano’s seminal book [7] to a more mature discipline.”
Levels of dynamics and adaptive behavior in evolutionary neural controllers (2002, background): “In the great majority of experiments in Evolutionary Robotics (Nolfi and Floreano, 2000) evolved control systems consist of artificial neural networks most of which include recurrent connections.”
Evolution of Spiking Neural Controllers for Autonomous Vision-Based Robots (2001, methodology): “A population of 60 individuals is evolved using rank-based truncated selection, one-point crossover, bit mutation, and elitism [18].”
The evolvability of artificial neural net-works for robot control (2002, methodology): “The field of evolutionary robotics applies the techniques of evolutionary computation to the design of robot controllers (Husbands and Harvey, 1992; Brooks, 1992; Cliff et al., 1993; Floreano and Mondada, 1994; Husbands and Meyer, 1998; Nolfi and Floreano, 2000).”
How the body shapes the way we think - a new view on intelligence (2006, background): “The usual formula, which most people still follow (even though the idea of evolutionary robotics has been around since the early 1990s), is to take a robot with a fixed morphology, such as a Khepera or a Sony AIBO, and to evolve its control architecture, which is typically a neural network (Nolfi an”
Evolutionary computation: a unified approach (2018, background): “This approach is already standard practice in the evolutionary robotics community (Nolfi and Floreano, 2000).”
Supplementing evolutionary developmental systems with abstract models of neurogenesis (2007, background): “However, bi-directional signalling is extremely prevalent among cerebral regions, indicating more of a heterarchical than purely hierarchical organization, as shown in Figure 1.”
Self-Organized Coordinated Motion in Groups of Physically Connected Robots (2007, methodology): “It is worth noting that this behavior was obtained through an automatic design methodology, that is, artificial evolution, which is particularly tailored for the synthesis of self-organizing behaviors [15], [21].”
Evolution of Embodied Intelligence (2003, background): “Of course, evolution is also a form of adaptation, but modifications occur only over several generations, and that may require too long time for a robotic system (for a comparative discussion of lifelong learning and evolution, see [27]).”
The interaction of maturational constraints and intrinsic motivations in active motor development (2011, neutral): “Other kinds of techniques, for example ones based on natural actor-critic architectures in model based reinforcement learning [24] or coming from evolutionary robotics [25], could also be used.”
Evolutionary Robotics: A New Scientific Tool for Studying Cognition (2005, background): “, Rome [12]; Pfeifer and colleagues at Zurich [13].”