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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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Three-fold Adaptivity in Groups of Robots: The Effect of Social Learning  15
Three-fold Adaptivity in Groups of Robots: The Effect of Soc...
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17th Genetic and evolutionary Computation Conference (GECCO)
作者: Heinerman, Jacqueline Drupsteen, Dexter Eiben, A. E. Vrije Univ Amsterdam Amsterdam Netherlands Univ Amsterdam Amsterdam Netherlands
Adapting the control systems of robots on the fly is important in robotic systems of the future. In this paper we present and investigate a three-fold adaptive system based on evolution, individual and social learning... 详细信息
来源: 评论
Fusing Novelty and Surprise for Evolving Robot Morphologies  18
Fusing Novelty and Surprise for Evolving Robot Morphologies
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Genetic and evolutionary Computation Conference (GECCO)
作者: Gravina, Daniele Liapis, Antonios Yannakakis, Georgios N. Univ Malta Inst Digital Games Msida Malta
Traditional evolutionary algorithms tend to converge to a single good solution, which can limit their chance of discovering more diverse and creative outcomes. Divergent search, on the other hand, aims to counter conv... 详细信息
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Adaptive Phototaxis of a Swarm of Mobile Robots using Positive and Negative Feedback Self-Alignment
Adaptive Phototaxis of a Swarm of Mobile Robots using Positi...
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Genetic and evolutionary Computation Conference (GECCO)
作者: Mirhosseini, Yoones Ben Zion, Matan Yah Dauchot, Olivier Bredeche, Nicolas Sorbonne Univ ISIR CNRS Paris France Tel Aviv Univ Tel Aviv Israel PSL Res Univ Gulliver Lab CNRS ESPCI Paris France
In this paper, we explore how robots in a swarm can individually exploit collisions to produce self-organizing behaviours at the macroscopic scale. We propose to focus on two behaviours that modify the orientation of ... 详细信息
来源: 评论
Using cyclic genetic algorithms to evolve multi-loop control programs
Using cyclic genetic algorithms to evolve multi-loop control...
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IEEE International Conference on Mechatronics Automation
作者: Parker, Gary B. Georgescu, Ramona A. Connecticut Coll New London CT 06320 USA
Cyclic genetic algorithms were developed to evolve single loop control programs for robots. These programs have been used for three levels of control: individual leg movement, gait generation, and area search path fin... 详细信息
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Bootstrapped Neuro-Simulation for Damage Recovery in Complex Robots
Bootstrapped Neuro-Simulation for Damage Recovery in Complex...
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IEEE Congress on evolutionary Computation (CEC)
作者: Leonard, Brydon A. du Plessis, Mathys C. Nelson Mandela Univ Dept Comp Sci Gqeberha South Africa
Bootstrapped Neuro-Simulation is a technique in which a Neural Network Simulator, used for the evaluation of controllers during the evolutionary robotics process, is trained concurrently with the evolution of the cont... 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
Simulating the Evolution of Soft and Rigid-Body Robots  17
Simulating the Evolution of Soft and Rigid-Body Robots
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Genetic and evolutionary Computation Conference (GECCO)
作者: Kriegman, Sam Cappelle, Collin Corucci, Francesco Bernatskiy, Anton Cheney, Nick Bongard, Josh C. Univ Vermont MEC Lab Burlington VT 05405 USA Scuola Super Sant Anna BioRobot Inst Pisa Italy Cornell Univ Creat Machines Lab Ithaca NY USA
In evolutionary robotics, evolutionary methods are used to optimize robots to different tasks. Because using physical robots is costly in terms of both time and money, simulated robots are generally used instead. Most... 详细信息
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Novelty Search Creates Robots with General Skills for Exploration  14
Novelty Search Creates Robots with General Skills for Explor...
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16th Genetic and evolutionary Computation Conference (GECCO)
作者: Velez, Roby Clune, Jeff Univ Wyoming Dept Comp Sci Evolving AI Lab Laramie WY 82071 USA
Novelty Search, a new type of evolutionary Algorithm, has shown much promise in the last few years. Instead of selecting for phenotypes that are closer to an objective, Novelty Search assigns rewards based on how diff... 详细信息
来源: 评论
Evolving Generalised Maze Solvers  18
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18th European Conference on Applications of evolutionary Computation (EvoApplications) as part of EvoSTAR Conference
作者: Shorten, David Nitschke, Geoff Univ Cape Town Dept Comp Sci ZA-7700 Cape Town South Africa
This paper presents a study of the efficacy of comparative controller design methods that aim to produce generalised problem solving behaviours. In this case study, the goal was to use neuro-evolution to evolve genera... 详细信息
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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
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