A Kendama Learning Robot Based on Bi-directional Theory

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Learning Attractor Landscapes for Learning Motor Primitives

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An algorithmic perspective on imitation learning

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Learning from demonstration and adaptation of biped locomotion

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Learning to select and generalize striking movements in robot table tennis

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An Algorithmic Perspective on Imitation Learning

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Task-Specific Generalization of Discrete and Periodic Dynamic Movement Primitives

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Learning From and About Others: Towards Using Imitation to Bootstrap the Social Understanding of Others by Robots

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Crossing the Reality Gap: A Survey on Sim-to-Real Transferability of Robot Controllers in Reinforcement Learning

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AVID: Learning Multi-Stage Tasks via Pixel-Level Translation of Human Videos

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A tennis serve and upswing learning robot based on bi-directional theory

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From ‘Understanding the Brain by Creating the Brain’ towards manipulative neuroscience

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Bayesian Nonparametric Reward Learning From Demonstration

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On-line periodic movement and force-profile learning for adaptation to new surfaces

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A via-point time optimization algorithm for complex sequential trajectory formation

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Dynamic Movement Primitives Plus: For enhanced reproduction quality and efficient trajectory modification using truncated kernels and Local Biases

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Reinforcement learning of a motor skill for wearing a T-shirt using topology coordinates

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Learning, Generation and Recognition of Motions by Reference-Point-Dependent Probabilistic Models

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Reinforcement learning with via-point representation

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ETL-Humanoid: A Research Vehicle for Open-Ended Action Imitation

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Simultaneously learning actions and goals from demonstration

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Nonlinear dynamical systems for imitation with humanoid robots

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Improvements on action parsing and action interpolation for learning through demonstration

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A framework for learning biped locomotion with dynamical movement primitives

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Optimized IoT Service Chain Implementation in Edge Cloud Platform: A Deep Learning Framework

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Integrating Reinforcement Learning and Learning From Demonstrations to Learn Nonprehensile Manipulation

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Casting Manipulation—Midair Control of a Gripper by Impulsive Force

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Dynamic Trajectory Generation and a Robust Controller to Intercept a Moving Ball in a Game Setting

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Generalization of example movements with dynamic systems

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A computer algorithm for representing spatial–temporal structure of human motion and a motion generalization method

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Learning of a ball-in-a-cup playing robot

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Reinforcement Learning for Parameterized Motor Primitives

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Using Bayesian Dynamical Systems for Motion Template Libraries

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Robot Learning

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Visually guided movements: learning with modular neural maps in robotics

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Data-Driven Robotic Manipulation of Cloth-like Deformable Objects: The Present, Challenges and Future Prospects

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