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Robotics and Autonomous Systems: NeuroEvolution of Dynamic Neural Field Architectures for Human-Robot Joint Action

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Neural fields : theory and applications
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Dynamics of pattern formation in lateral-inhibition type neural fields
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Dynamic fields endow behavior-based robots with representations
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Dynamics of behavior: Theory and applications for autonomous robot architectures
inferredcites →https://doi.org/10.1016/j.cogsys.2023.101148openalex-snapshot
Adaptive Timing in a Dynamic Field Architecture for Natural Human-Robot Interactions
inferredcites →https://doi.org/10.1016/j.humov.2010.08.012openalex-snapshot
Neuro-cognitive mechanisms of decision making in joint action: A human–robot interaction study
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Template based black-box optimization of dynamic neural fields
inferredcites →https://doi.org/10.1016/j.newideapsych.2013.01.002openalex-snapshot
Using Dynamic Field Theory to extend the embodiment stance toward higher cognition
inferredcites →https://doi.org/10.1016/j.tics.2005.12.009openalex-snapshot
Joint action: bodies and minds moving together
inferredcites →https://doi.org/10.1016/s0925-2312(00)00328-3openalex-snapshot
Optimization of dynamic neural fields
inferredcites →https://doi.org/10.1023/b:genp.0000023689.70987.6aopenalex-snapshot
Evolutionary Adaptation of Nonlinear Dynamical Systems in Computational Neuroscience
inferredcites →https://doi.org/10.1038/s42256-025-01050-6openalex-snapshot
A roadmap for AI in robotics
inferredcites →https://doi.org/10.1088/1741-2560/3/3/r02openalex-snapshot
The dynamic neural field approach to cognitive robotics
inferredcites →https://doi.org/10.1093/acprof:oso/9780199300563.001.0001openalex-snapshot
Dynamic Thinking
inferredcites →https://doi.org/10.1109/icarsc61747.2024.10535933openalex-snapshot
RAMBO — Robotic Anthropomorphic Manipulator for Bimanual Operations
inferredcites →https://doi.org/10.1109/lra.2021.3100603openalex-snapshot
Autonomy in Physical Human-Robot Interaction: A Brief Survey
inferredcites →https://doi.org/10.1109/tamd.2011.2109714openalex-snapshot
Dynamic Neural Fields as Building Blocks of a Cortex-Inspired Architecture for Robotic Scene Representation
inferredcites →https://doi.org/10.1109/tcds.2020.2991789openalex-snapshot
Rapid Learning of Complex Sequences With Time Constraints: A Dynamic Neural Field Model
inferredcites →https://doi.org/10.1109/tg.2022.3170730openalex-snapshot
Hybrid Encoding for Generating Large Scale Game Level Patterns With Local Variations
inferredcites →https://doi.org/10.1109/thms.2019.2904558openalex-snapshot
Evaluating Fluency in Human–Robot Collaboration
inferredcites →https://doi.org/10.1111/j.1756-8765.2009.01023.xopenalex-snapshot
Joint Action: Neurocognitive Mechanisms Supporting Human Interaction
inferredcites →https://doi.org/10.1162/106365602320169811openalex-snapshot
Evolving Neural Networks through Augmenting Topologies
inferredcites →https://doi.org/10.1162/evco_a_00282openalex-snapshot
A Systematic Literature Review of the Successors of “NeuroEvolution of Augmenting Topologies”
inferredcites →https://doi.org/10.1177/02783640022066950openalex-snapshot
Target Representation on an Autonomous Vehicle with Low-Level Sensors
inferredcites →https://doi.org/10.1177/0963721420984425openalex-snapshot
Progress in Joint-Action Research
inferredcites →https://doi.org/10.21105/joss.06138openalex-snapshot
LBR-Stack: ROS 2 and Python Integration of KUKA FRI for Med and IIWA Robots
inferredcites →https://doi.org/10.7551/mitpress/3585.001.0001openalex-snapshot
How the Body Shapes the Way We Think
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