Dynamical movement primitives: learning attractor models for motor behaviors.
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Adaptive Control of Exoskeleton Robots for Periodic Assistive Behaviours Based on EMG Feedback MinimisationA novel approach to locomotion learning: Actor-Critic architecture using central pattern generators and dynamic motor primitivesMuscle Synergies Heavily Influence the Neural Control of Arm Endpoint Stiffness and Energy Consumption.Kinematics of the coordination of pointing during locomotionKinematic decomposition and classification of octopus arm movements.High Precision Neural Decoding of Complex Movement Trajectories using Recursive Bayesian Estimation with Dynamic Movement Primitives.Hierarchical control using networks trained with higher-level forward models.Movement distributions of stroke survivors exhibit distinct patterns that evolve with trainingDynamic primitives in the control of locomotion.On the Self-Organizing Origins of Agency.Probabilistic Movement Models Show that Postural Control Precedes and Predicts Volitional Motor Control.Learning to never forget-time scales and specificity of long-term memory of a motor skillKinematic primitives for walking and trotting gaits of a quadruped robot with compliant legs.Motor primitives and synergies in the spinal cord and after injury--the current state of play.Muscle synergies in neuroscience and robotics: from input-space to task-space perspectives.Toward a Unified Sub-symbolic Computational Theory of CognitionDo muscle synergies reduce the dimensionality of behavior?A computational analysis of motor synergies by dynamic response decomposition.Learned parametrized dynamic movement primitives with shared synergies for controlling robotic and musculoskeletal systems.Compositionality in neural control: an interdisciplinary study of scribbling movements in primates.Individual patterns of motor deficits evident in movement distribution analysisThe importance of studying all subgoals at once.Centralized Networks to Generate Human Body Motions.Predictive Coding for Dynamic Visual Processing: Development of Functional Hierarchy in a Multiple Spatiotemporal Scales RNN Model.Model of a bilateral Brown-type central pattern generator for symmetric and asymmetric locomotion.The coordination dynamics of mobile conjugate reinforcement.Frequency modulation of large oscillatory neural networks.Learning by Demonstration for Motion Planning of Upper-Limb Exoskeletons.Online learning and control of attraction basins for the development of sensorimotor control strategies.A spiking neural model of adaptive arm control.Unifying Robot Trajectory Tracking with Control Contraction MetricsLearning of Central Pattern Generator Coordination in Robot DrawingEfficient sensorimotor learning from multiple demonstrationsThe Sensorimotor Loop as a Dynamical System: How Regular Motion Primitives May Emerge from Self-Organized Limit CyclesBehavioral Diversity Generation in Autonomous Exploration through Reuse of Past ExperienceHybrid Human Motion Prediction for Action Selection Within Human-Robot CollaborationAccounting for Task-Difficulty in Active Multi-Task Robot Control Learning
P2860
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P2860
Dynamical movement primitives: learning attractor models for motor behaviors.
description
2012 nî lūn-bûn
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2012年の論文
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2012年学术文章
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2012年学术文章
@zh-cn
2012年学术文章
@zh-hans
2012年学术文章
@zh-my
2012年学术文章
@zh-sg
2012年學術文章
@yue
2012年學術文章
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2012年學術文章
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name
Dynamical movement primitives: learning attractor models for motor behaviors.
@en
Dynamical movement primitives: learning attractor models for motor behaviors.
@nl
type
label
Dynamical movement primitives: learning attractor models for motor behaviors.
@en
Dynamical movement primitives: learning attractor models for motor behaviors.
@nl
prefLabel
Dynamical movement primitives: learning attractor models for motor behaviors.
@en
Dynamical movement primitives: learning attractor models for motor behaviors.
@nl
P2093
P2860
P356
P1433
P1476
Dynamical movement primitives: learning attractor models for motor behaviors.
@en
P2093
Auke Jan Ijspeert
Jun Nakanishi
Peter Pastor
Stefan Schaal
P2860
P304
P356
10.1162/NECO_A_00393
P577
2012-11-13T00:00:00Z