4.6 Article

A neural integrator model for planning and value-based decision making of a robotics assistant

相关参考文献

注意:仅列出部分参考文献,下载原文获取全部文献信息。
Article Computer Science, Artificial Intelligence

Rapid Learning of Complex Sequences With Time Constraints: A Dynamic Neural Field Model

Flora Ferreira et al.

Summary: This study introduces a neurocomputational model based on dynamic neural fields theory that supports rapid learning and flexible adaptation of sequential order-timing information. The model is tested in simulations to ensure robustness and adaptability, aiming to endow autonomous robots with the ability to efficiently learn complex sequences with time constraints.

IEEE TRANSACTIONS ON COGNITIVE AND DEVELOPMENTAL SYSTEMS (2021)

Article Computer Science, Artificial Intelligence

Predicting Intentions from Motion: The Subject-Adversarial Adaptation Approach

Andrea Zunino et al.

INTERNATIONAL JOURNAL OF COMPUTER VISION (2020)

Article Psychology, Experimental

The Dynamics of Neural Populations Capture the Laws of the Mind

Gregor Schoener

TOPICS IN COGNITIVE SCIENCE (2020)

Article Multidisciplinary Sciences

Deviation from the matching law reflects an optimal strategy involving learning over multiple timescales

Kiyohito Iigaya et al.

NATURE COMMUNICATIONS (2019)

Proceedings Paper Computer Science, Artificial Intelligence

Neural Field Model for Measuring and Reproducing Time Intervals

Weronika Wojtak et al.

ARTIFICIAL NEURAL NETWORKS AND MACHINE LEARNING - ICANN 2019: THEORETICAL NEURAL COMPUTATION, PT I (2019)

Article Engineering, Mechanical

Toward Intelligent Human Machine Interactions

Yingzi Lin

MECHANICAL ENGINEERING (2018)

Article Engineering, Industrial

Deep learning-based human motion recognition for predictive context-aware human-robot collaboration

Peng Wang et al.

CIRP ANNALS-MANUFACTURING TECHNOLOGY (2018)

Article Robotics

The limits and potentials of deep learning for robotics

Niko Suenderhauf et al.

INTERNATIONAL JOURNAL OF ROBOTICS RESEARCH (2018)

Review Behavioral Sciences

A Dynamical Systems Perspective on Flexible Motor Timing

Evan D. Remington et al.

TRENDS IN COGNITIVE SCIENCES (2018)

Article Computer Science, Interdisciplinary Applications

Management of a holistic supply chain network for proactive resilience: Theory and case study

Junwei Wang et al.

COMPUTERS & INDUSTRIAL ENGINEERING (2018)

Article Psychology, Biological

Persistent neuronal activity in human prefrontal cortex links perception and action

Matar Haller et al.

NATURE HUMAN BEHAVIOUR (2018)

Article Computer Science, Information Systems

Gradient-driven parking navigation using a continuous information potential field based on wireless sensor network

Wei Wei et al.

INFORMATION SCIENCES (2017)

Article Computer Science, Artificial Intelligence

Artificial cognition for social human-robot interaction: An implementation

Severin Lemaignan et al.

ARTIFICIAL INTELLIGENCE (2017)

Article Computer Science, Artificial Intelligence

Efficient interactive decision-making framework for robotic applications

Alejandro Agostini et al.

ARTIFICIAL INTELLIGENCE (2017)

Article Computer Science, Artificial Intelligence

Combining intention and emotional state inference in a dynamic neural field architecture for human-robot joint action

Rui Silva et al.

ADAPTIVE BEHAVIOR (2016)

Review Neurosciences

Neural underpinnings of the evidence accumulator

Carlos D. Brody et al.

CURRENT OPINION IN NEUROBIOLOGY (2016)

Review Computer Science, Interdisciplinary Applications

Human-robot interaction review and challenges on task planning and programming

Panagiota Tsarouchi et al.

INTERNATIONAL JOURNAL OF COMPUTER INTEGRATED MANUFACTURING (2016)

Article Mathematics, Applied

Multi-bump solutions in a neural field model with external inputs

Flora Ferreira et al.

PHYSICA D-NONLINEAR PHENOMENA (2016)

Article Computer Science, Artificial Intelligence

Developing Dynamic Field Theory Architectures for Embodied Cognitive Systems with cedar

Oliver Lomp et al.

FRONTIERS IN NEUROROBOTICS (2016)

Article Engineering, Industrial

Effect of cognitive automation in a material handling system on manufacturing flexibility

Pilsung Choe et al.

INTERNATIONAL JOURNAL OF PRODUCTION ECONOMICS (2015)

Review Multidisciplinary Sciences

Deep learning

Yann LeCun et al.

NATURE (2015)

Article Computer Science, Artificial Intelligence

Off-line simulation inspires insight: A neurodynamics approach to efficient robot task learning

Emanuel Sousa et al.

NEURAL NETWORKS (2015)

Article Mathematics, Applied

CONTINUATION OF LOCALIZED COHERENT STRUCTURES IN NONLOCAL NEURAL FIELD EQUATIONS

James Rankin et al.

SIAM JOURNAL ON SCIENTIFIC COMPUTING (2014)

Review Neurosciences

Computational models of decision making: integration, stability, and noise

Nicholas Cain et al.

CURRENT OPINION IN NEUROBIOLOGY (2012)

Article Engineering, Industrial

Assembly system design and operations for product variety

S. J. Hu et al.

CIRP ANNALS-MANUFACTURING TECHNOLOGY (2011)

Article Automation & Control Systems

Artificial Cognition in Production Systems

Alexander Bannat et al.

IEEE TRANSACTIONS ON AUTOMATION SCIENCE AND ENGINEERING (2011)

Article Engineering, Manufacturing

Automation of robotic assembly processes on the basis of an architecture of human cognition

Marcel Ph. Mayer et al.

PRODUCTION ENGINEERING-RESEARCH AND DEVELOPMENT (2011)

Review Behavioral Sciences

Beyond working memory: the role of persistent activity in decision making

Clayton E. Curtis et al.

TRENDS IN COGNITIVE SCIENCES (2010)

Article Computer Science, Artificial Intelligence

Integrating verbal and nonverbal communication in a dynamic neural field architecture for human-robot interaction

Estela Bicho

Frontiers in Neurorobotics (2010)

Article Engineering, Industrial

Cooperation of human and machines in assembly lines

J. Krueger et al.

CIRP ANNALS-MANUFACTURING TECHNOLOGY (2009)

Article Automation & Control Systems

Neuromodulation as a Robot Controller A Brain-Inspired Strategy for Controlling Autonomous Robots

Brian R. Cox et al.

IEEE ROBOTICS & AUTOMATION MAGAZINE (2009)

Article Computer Science, Artificial Intelligence

Learning to recognize objects on the fly:: A neurally based dynamic field approach

Christian Faubel et al.

NEURAL NETWORKS (2008)

Article Automation & Control Systems

Incremental learning of tasks from user demonstrations, past experiences, and vocal comments

Michael Pardowitz et al.

IEEE TRANSACTIONS ON SYSTEMS MAN AND CYBERNETICS PART B-CYBERNETICS (2007)

Article Computer Science, Artificial Intelligence

Computational algorithms and neuronal network models underlying decision processes

Yutaka Sakai et al.

NEURAL NETWORKS (2006)

Article Engineering, Biomedical

The dynamic neural field approach to cognitive robotics

Wolfram Erlhagen et al.

JOURNAL OF NEURAL ENGINEERING (2006)

Article Automation & Control Systems

Goal-directed imitation for robots: A bio-inspired approach to action understanding and skill learning

W. Erlhagen et al.

ROBOTICS AND AUTONOMOUS SYSTEMS (2006)

Article Psychology, Biological

Dynamic response-by-response models of matching behavior in rhesus monkeys

B Lau et al.

JOURNAL OF THE EXPERIMENTAL ANALYSIS OF BEHAVIOR (2005)

Review Computer Science, Cybernetics

Waves, bumps, and patterns in neural field theories

S Coombes

BIOLOGICAL CYBERNETICS (2005)

Article Multidisciplinary Sciences

Matching behavior and the representation of value in the parietal cortex

LP Sugrue et al.

SCIENCE (2004)

Article Mathematics, Applied

Multiple bumps in a neuronal model of working memory

CR Laing et al.

SIAM JOURNAL ON APPLIED MATHEMATICS (2002)

Article Neurosciences

Model for a robust neural integrator

AA Koulakov et al.

NATURE NEUROSCIENCE (2002)

Article Robotics

Target representation on an autonomous vehicle with low-level sensors

E Bicho et al.

INTERNATIONAL JOURNAL OF ROBOTICS RESEARCH (2000)