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检索条件"主题词=evolutionary robotics"
634 条 记 录,以下是441-450 订阅
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Morphological and Environmental Scaffolding Synergize when Evolving Robot Controllers  11
Morphological and Environmental Scaffolding Synergize when E...
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13th Annual Genetic and evolutionary Computation Conference (GECCO)
作者: Bongard, Josh C. Univ Vermont Dept Comp Sci Burlington VT 05405 USA
Scaffolding-initially simplifying the task environment of autonomous robots-has been shown to increase the probability of evolving robots capable of performing in more complex task environments. Recently, it has been ... 详细信息
来源: 评论
Spontaneous Evolution of Structural Modularity in Robot Neural Network Controllers  11
Spontaneous Evolution of Structural Modularity in Robot Neur...
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13th Annual Genetic and evolutionary Computation Conference (GECCO)
作者: Bongard, Josh C. Univ Vermont Dept Comp Sci Burlington VT 05405 USA
In order to evolve large robot controllers for increasingly complex tasks, fully connected neural networks are not feasible. However, manually designing sparse neural connectivity is not intuitive, and thus should be ... 详细信息
来源: 评论
Why and How to Measure Exploration in Behavioral Space  11
Why and How to Measure Exploration in Behavioral Space
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13th Annual Genetic and evolutionary Computation Conference (GECCO)
作者: Ollion, Charles Doncieux, Stephane UPMC ISIR Paris France
Exploration and exploitation are two complementary aspects of evolutionary Algorithms. Exploration, in particular, is promoted by specific diversity keeping mechanisms generally relying on the genotype or on the fitne... 详细信息
来源: 评论
Evolving Complete Robots with CPPN-NEAT: The Utility of Recurrent Connections  11
Evolving Complete Robots with CPPN-NEAT: The Utility of Recu...
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13th Annual Genetic and evolutionary Computation Conference (GECCO)
作者: Auerbach, Joshua E. Bongard, Josh C. Univ Vermont Dept Comp Sci Morphol Evolut & Cognit Lab Burlington VT 05401 USA
This paper extends prior work using Compositional Pattern Producing Networks (CPPNs) as a generative encoding for the purpose of simultaneously evolving robot morphology and control. A method is presented for translat... 详细信息
来源: 评论
A MARKOV-CHAIN-BASED MODEL FOR SUCCESS PREDICTION OF EVOLUTION IN COMPLEX ENVIRONMENTS
A MARKOV-CHAIN-BASED MODEL FOR SUCCESS PREDICTION OF EVOLUTI...
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International Conference on evolutionary Computation Theory and Applications (ECTA 2011) / International Conference on Fuzzy Computation Theory and Applications (FCTA 2011)
作者: Koenig, Lukas Mostaghim, Sanaz Schmeck, Hartmut Karlsruhe Inst Technol Inst AIFB Kaiserstr 89 D-76128 Karlsruhe Germany
In this paper, a theoretical and experimental study of the influence of environments on the selection process in evolutionary swarm robotics is conducted. The theoretical selection model is based on Markov chains. It ... 详细信息
来源: 评论
The Evolution of Signal Communication for the e-puck Robot
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10th Mexican International Conference on Artificial Intelligence (MICAI 2011)
作者: Montes-Gonzalez, Fernando Aldana-Franco, Fernando Univ Veracruzana Dept Artificial Intelligence Xalapa 91000 Veracruz Mexico
In this paper we report our experiments with the e-puck robots for developing a communication system using evolutionary robotics. In order to do the latter we follow the evolutionary approach by using Neural Networks ... 详细信息
来源: 评论
Fitness Biasing for the Box Pushing Task
Fitness Biasing for the Box Pushing Task
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IEEE International Conference on Systems, Man and Cybernetics (SMC)
作者: Parker, Gary O'Connor, Jim Connecticut Coll New London CT 06320 USA
Anytime Learning with Fitness Biasing has been shown in previous works to be an effective tool for evolving hexapod gaits. In this paper, we present the use of Anytime Learning with Fitness Biasing to evolve the contr... 详细信息
来源: 评论
Using Cyclic Genetic Algorithms to Learn Gaits for an Actual Quadruped Robot
Using Cyclic Genetic Algorithms to Learn Gaits for an Actual...
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IEEE International Conference on Systems, Man and Cybernetics (SMC)
作者: Parker, Gary B. Tarimo, William T. Connecticut Coll Dept Comp Sci New London CT 06320 USA
It is a difficult task to generate optimal walking gaits for mobile legged robots. Generating and coordinating an optimal gait involves continually repeating a series of actions in order to create a sustained movement... 详细信息
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Quadruped Gait Learning Using Cyclic Genetic Algorithms
Quadruped Gait Learning Using Cyclic Genetic Algorithms
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IEEE Congress on evolutionary Computation (CEC)
作者: Parker, Gary B. Tarimo, William T. Cantor, Michael Connecticut Coll Dept Comp Sci New London CT 06320 USA
Generating walking gaits for legged robots is a challenging task. Gait generation with proper leg coordination involves a series of actions that are continually repeated to create sustained movement. In this paper we ... 详细信息
来源: 评论
Adaptation to sensory delays an evolutionary robotics model of an empirical study
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9th European Conference on Artificial Life
作者: Rohde, Marieke Di Paolo, Ezequiel Univ Sussex CCNR Brighton BN1 9QH E Sussex England
evolutionary robotics simulations can serve as a tool to clarify counterintuitive or dynamically complex aspects of sensorimotor behaviour. We present a series of simulations that has been conducted in order to aid th... 详细信息
来源: 评论