Search Results - "Eiben, A. E."

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  1. 1

    A model-free method to learn multiple skills in parallel on modular robots by van Diggelen, Fuda, Cambier, Nicolas, Ferrante, Eliseo, Eiben, A. E.

    Published in Nature communications (25-07-2024)
    “…Legged robots are well-suited for deployment in unstructured environments but require a unique control scheme specific for their design. As controllers…”
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    Journal Article
  2. 2

    Environmental influences on evolvable robots by Miras, Karine, Ferrante, Eliseo, Eiben, A E

    Published in PloS one (29-05-2020)
    “…The field of Evolutionary Robotics addresses the challenge of automatically designing robotic systems. Furthermore, the field can also support biological…”
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    Journal Article
  3. 3

    Combining environment-driven adaptation and task-driven optimisation in evolutionary robotics by Haasdijk, Evert, Bredeche, Nicolas, Eiben, A E

    Published in PloS one (05-06-2014)
    “…Embodied evolutionary robotics is a sub-field of evolutionary robotics that employs evolutionary algorithms on the robotic hardware itself, during the…”
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    Journal Article
  4. 4

    Lamarckian Evolution of Simulated Modular Robots by Jelisavcic, Milan, Glette, Kyrre, Haasdijk, Evert, Eiben, A E

    Published in Frontiers in robotics and AI (18-02-2019)
    “…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…”
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    Journal Article
  5. 5

    Environmental Regulation Using Plasticoding for the Evolution of Robots by Miras, Karine, Ferrante, Eliseo, Eiben, A E

    Published in Frontiers in robotics and AI (01-10-2020)
    “…Evolutionary robot systems are usually affected by the properties of the environment indirectly through selection. In this paper, we present and investigate a…”
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    Journal Article
  6. 6

    Parameter Control in Evolutionary Algorithms: Trends and Challenges by Karafotias, Giorgos, Hoogendoorn, Mark, Eiben, A. E.

    “…More than a decade after the first extensive overview on parameter control, we revisit the field and present a survey of the state-of-the-art. We briefly…”
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  7. 7

    Parameter control in evolutionary algorithms by Eiben, A.E., Hinterding, R., Michalewicz, Z.

    “…The issue of controlling values of various parameters of an evolutionary algorithm is one of the most important and promising areas of research in evolutionary…”
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  8. 8

    Importance of Parameter Settings on the Benefits of Robot-to-Robot Learning in Evolutionary Robotics by Heinerman, Jacqueline, Haasdijk, Evert, Eiben, A E

    Published in Frontiers in robotics and AI (04-03-2019)
    “…Robot-to-robot learning, a specific case of social learning in robotics, enables multiple robots to share learned skills while completing a task. The…”
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    Journal Article
  9. 9

    A new taxonomy of global optimization algorithms by Stork, Jörg, Eiben, A. E., Bartz-Beielstein, Thomas

    Published in Natural computing (01-06-2022)
    “…Surrogate-based optimization, nature-inspired metaheuristics, and hybrid combinations have become state of the art in algorithm design for solving real-world…”
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    Journal Article
  10. 10

    Hu-bot: promoting the cooperation between humans and mobile robots by Miras, Karine, Mocanu, Decebal, Eiben, A. E.

    Published in Neural computing & applications (01-08-2023)
    “…This paper investigates human–robot collaboration in a novel setup: a human helps a mobile robot that can move and navigate freely in an environment…”
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    Journal Article
  11. 11

    Comparing Robot Controller Optimization Methods on Evolvable Morphologies by van Diggelen, Fuda, Ferrante, Eliseo, Eiben, A E

    Published in Evolutionary computation (03-06-2024)
    “…In this paper, we compare Bayesian Optimization, Differential Evolution, and an Evolution Strategy employed as a gait-learning algorithm in modular robots. The…”
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    Journal Article
  12. 12

    Comparing evolutionary algorithms on binary constraint satisfaction problems by Craenen, B.G.W., Eiben, A.E., van Hemert, J.I.

    “…Constraint handling is not straightforward in evolutionary algorithms (EAs) since the usual search operators, mutation and recombination, are 'blind' to…”
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  13. 13

    Real-World Robot Evolution: Why Would it (not) Work? by Eiben, A E

    Published in Frontiers in robotics and AI (27-07-2021)
    “…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…”
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  14. 14

    Evolutionary computing by Eiben, A.E., Schoenauer, M.

    Published in Information processing letters (15-04-2002)
    “…Evolutionary computing (EC) is an exciting development in Computer Science. It amounts to building, applying and studying algorithms based on the Darwinian…”
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  15. 15

    Collective gradient perception with a flying robot swarm by Karagüzel, Tugay Alperen, Turgut, Ali Emre, Eiben, A. E., Ferrante, Eliseo

    Published in Swarm intelligence (01-06-2023)
    “…In this paper, we study the problem of collective and emergent sensing with a flying robot swarm in which social interactions among individuals lead to…”
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  16. 16

    The Influence of Robot Traits and Evolutionary Dynamics on the Reality Gap by van Diggelen, Fuda, Ferrante, Eliseo, Harrak, Nihed, Luo, Jie, Zeeuwe, Daan, Eiben, A. E.

    “…The elephant in the room for evolutionary robotics is the reality gap. In the history of the field, several studies investigated this phenomenon on fixed robot…”
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  17. 17

    A Process-Oriented Framework for Robot Imitation Learning in Human-Centered Interactive Tasks by Hou, Muhan, Hindriks, Koen, Eiben, A.E., Baraka, Kim

    “…Human-centered interactive robot tasks (e.g., social greetings and cooperative dressing) are a type of task where humans are involved in task dynamics and…”
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    Conference Proceeding
  18. 18

    Shaping Imbalance into Balance: Active Robot Guidance of Human Teachers for Better Learning from Demonstrations by Hou, Muhan, Hindriks, Koen, Eiben, A.E., Baraka, Kim

    “…Learning from Demonstrations (LfD) transfers skills from human teachers to robots. However, data imbalance in demonstrations can bias policies towards majority…”
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    Conference Proceeding
  19. 19

    Heritability of morphological and behavioural traits in evolving robots by De Carlo, Matteo, Ferrante, Eliseo, Zeeuwe, Daan, Ellers, Jacintha, Eiben, A. E.

    Published in Evolutionary intelligence (01-06-2024)
    “…In the field of evolutionary robotics, choosing the correct genetic representation is a complicated and delicate matter, especially when robots evolve…”
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    Journal Article
  20. 20

    Assessment of temporal predictive models for health care using a formal method by van Breda, Ward, Hoogendoorn, Mark, Eiben, A.E, Berking, Matthias

    Published in Computers in biology and medicine (01-08-2017)
    “…Abstract Recent developments in the field of sensor devices provide new possibilities to measure a variety of health related aspects in a precise and…”
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