Jun Morimoto

Orcid: 0000-0002-4115-1919

According to our database1, Jun Morimoto authored at least 153 papers between 1998 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
Simulation-Aided Handover Prediction From Video Using Recurrent Image-to-Motion Networks.
IEEE Trans. Neural Networks Learn. Syst., January, 2024

GAN-Based Semi-Supervised Training of LSTM Nets for Intention Recognition in Cooperative Tasks.
IEEE Robotics Autom. Lett., January, 2024

Goal-Conditioned Terminal Value Estimation for Real-time and Multi-task Model Predictive Control.
CoRR, 2024

Hierarchical Learning Framework for Whole-Body Model Predictive Control of a Real Humanoid Robot.
CoRR, 2024

Phase-Amplitude Reduction-Based Imitation Learning.
CoRR, 2024

Unsupervised Neural Motion Retargeting for Humanoid Teleoperation.
CoRR, 2024

Joint-Aware Transformer: An Inter-Joint Correlation Encoding Transformer for Short-Term 3D Human Motion Prediction.
IEEE Access, 2024

2023
Learning to Shape by Grinding: Cutting-Surface-Aware Model-Based Reinforcement Learning.
IEEE Robotics Autom. Lett., October, 2023

Curriculum-based humanoid robot identification using large-scale human motion database.
Frontiers Robotics AI, March, 2023

A Policy Adaptation Method for Implicit Multitask Reinforcement Learning Problems.
CoRR, 2023

Muscle Synergy Analysis Under Fast Sit-to-stand Assist : A Preliminary Study.
Proceedings of the Augmented Humans International Conference 2023, 2023

2022
Randomized-to-Canonical Model Predictive Control for Real-World Visual Robotic Manipulation.
IEEE Robotics Autom. Lett., 2022

Selective Assist Strategy by Using Lightweight Carbon Frame Exoskeleton Robot.
IEEE Robotics Autom. Lett., 2022

Deep learning, reinforcement learning, and world models.
Neural Networks, 2022

Implicit Contact Dynamics Modeling With Explicit Inertia Matrix Representation for Real-Time, Model-Based Control in Physical Environment.
Neural Comput., 2022

Development of a Chair to Support Human Standing Motion -Seat movement mechanism using zip chain actuator-.
Proceedings of the IEEE/SICE International Symposium on System Integration, 2022

2021
A Collaborative Filtering Approach Toward Plug-and-Play Myoelectric Robot Control.
IEEE Trans. Hum. Mach. Syst., 2021

Composing an Assistive Control Strategy Based on Linear Bellman Combination From Estimated User's Motor Goal.
IEEE Robotics Autom. Lett., 2021

Parallel and hierarchical neural mechanisms for adaptive and predictive behavioral control.
Neural Networks, 2021

Design of physical user-robot interactions for model identification of soft actuators on exoskeleton robots.
Int. J. Robotics Res., 2021

Computationally Affordable Hierarchical Framework for Humanoid Robot Control.
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2021

2020
Quaternion-Based Trajectory Optimization of Human Postures for Inducing Target Muscle Activation Patterns.
IEEE Robotics Autom. Lett., 2020

Full-Body Optimal Control Toward Versatile and Agile Behaviors in a Humanoid Robot.
IEEE Robotics Autom. Lett., 2020

Training of deep neural networks for the generation of dynamic movement primitives.
Neural Networks, 2020

Phase portraits as movement primitives for fast humanoid robot control.
Neural Networks, 2020

2019
Targeted Up-Conditioning of Contralesional Corticospinal Pathways Promotes Motor Recovery in Poststroke Patients with Severe Chronic Hemiplegia.
Proceedings of the Brain-Computer Interface Research - A State-of-the-Art Summary 7, 2019

Stable Control of Force, Position, and Stiffness for Robot Joints Powered via Pneumatic Muscles.
IEEE Trans. Ind. Informatics, 2019

Assistive Arm-Exoskeleton Control Based on Human Muscular Manipulability.
Frontiers Neurorobotics, 2019

An Optimal Assistive Control Strategy based on User's Motor Goal Estimation.
CoRR, 2019

Convolutional Encoder-Decoder Networks for Robust Image-to-Motion Prediction.
Proceedings of the Advances in Service and Industrial Robotics, 2019

Learning to Write Anywhere with Spatial Transformer Image-to-Motion Encoder-Decoder Networks.
Proceedings of the International Conference on Robotics and Automation, 2019

Exploiting Human and Robot Muscle Synergies for Human-in-the-loop Optimization of EMG-based Assistive Strategies.
Proceedings of the International Conference on Robotics and Automation, 2019

2018
Skill learning and action recognition by arc-length dynamic movement primitives.
Robotics Auton. Syst., 2018

EMG-Based Model Predictive Control for Physical Human-Robot Interaction: Application for Assist-As-Needed Control.
IEEE Robotics Autom. Lett., 2018

An optimal control strategy for hybrid actuator systems: Application to an artificial muscle with electric motor assist.
Neural Networks, 2018

Human-In-The-Loop Control and Task Learning for Pneumatically Actuated Muscle Based Robots.
Frontiers Neurorobotics, 2018

Investigation on the Neural Correlates of Haptic Training.
Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, 2018

Development of Shoulder Exoskeleton Toward BMI Triggered Rehabilitation Robot Therapy.
Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, 2018

Deep Encoder-Decoder Networks for Mapping Raw Images to Dynamic Movement Primitives.
Proceedings of the 2018 IEEE International Conference on Robotics and Automation, 2018

Robotizing Double-Bar Ankle-Foot Orthosis.
Proceedings of the 2018 IEEE International Conference on Robotics and Automation, 2018

Shoulder Glenohumeral Elevation Estimation based on Upper Arm Orientation.
Proceedings of the 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2018

Reinforcement Learning of Phase Oscillators for Fast Adaptation to Moving Targets.
Proceedings of the 2nd Annual Conference on Robot Learning, 2018

Bayesian Optimisation of Exoskeleton Design Parameters.
Proceedings of the 7th IEEE International Conference on Biomedical Robotics and Biomechatronics, 2018

2017
Robot Learning.
Proceedings of the Encyclopedia of Machine Learning and Data Mining, 2017

Human Movement Modeling to Detect Biosignal Sensor Failures for Myoelectric Assistive Robot Control.
IEEE Trans. Robotics, 2017

Learning assistive strategies for exoskeleton robots from user-robot physical interaction.
Pattern Recognit. Lett., 2017

User-robot collaborative excitation for PAM model identification in exoskeleton robots.
Proceedings of the 2017 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2017

Learning task-parametrized assistive strategies for exoskeleton robots by multi-task reinforcement learning.
Proceedings of the 2017 IEEE International Conference on Robotics and Automation, 2017

Power-augmentation control approach for arm exoskeleton based on human muscular manipulability.
Proceedings of the 2017 IEEE International Conference on Robotics and Automation, 2017

Database-driven approach for Biosignal-based robot control with collaborative filtering.
Proceedings of the 17th IEEE-RAS International Conference on Humanoid Robotics, 2017

2016
An EMG-Driven Weight Support System With Pneumatic Artificial Muscles.
IEEE Syst. J., 2016

Adaptation and coaching of periodic motion primitives through physical and visual interaction.
Robotics Auton. Syst., 2016

Trial and Error: Using Previous Experiences as Simulation Models in Humanoid Motor Learning.
IEEE Robotics Autom. Mag., 2016

Model-based reinforcement learning with dimension reduction.
Neural Networks, 2016

Trajectory representation by nonlinear scaling of dynamic movement primitives.
Proceedings of the 2016 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2016

Dry-wireless EEG and asynchronous adaptive feature extraction towards a plug-and-play co-adaptive brain robot interface.
Proceedings of the 2016 IEEE International Conference on Robotics and Automation, 2016

Learning assistive strategies from a few user-robot interactions: Model-based reinforcement learning approach.
Proceedings of the 2016 IEEE International Conference on Robotics and Automation, 2016

2015
Spatiotemporal synchronization of biped walking patterns with multiple external inputs by style-phase adaptation.
Biol. Cybern., 2015

Fault tolerant approach for biosignal-based robot control.
Adv. Robotics, 2015

Sparsely extracting stored movements to construct interfaces for humanoid end-effector control.
Proceedings of the 2015 IEEE International Conference on Robotics and Biomimetics, 2015

Torque and variable stiffness control for antagonistically driven pneumatic muscle actuators via a stable force feedback controller.
Proceedings of the 2015 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2015

Development of a pneumatic-electromagnetic hybrid linear actuator with an integrated structure.
Proceedings of the 2015 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2015

Accelerating synchronization of movement primitives: Dual-arm discrete-periodic motion of a humanoid robot.
Proceedings of the 2015 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2015

Estimating joint movements from observed EMG signals with multiple electrodes under sensor failure situations toward safe assistive robot control.
Proceedings of the IEEE International Conference on Robotics and Automation, 2015

Towards balance recovery control for lower body exoskeleton robots with Variable Stiffness Actuators: Spring-loaded flywheel model.
Proceedings of the IEEE International Conference on Robotics and Automation, 2015

On the EMG-based torque estimation for humans coupled with a force-controlled elbow exoskeleton.
Proceedings of the International Conference on Advanced Robotics, 2015

Assessments on the improved modelling for pneumatic artificial muscle actuators.
Proceedings of the International Conference on Advanced Robotics, 2015

Real-time Model Predictive Control with two-step optimization based on singularly perturbed system.
Proceedings of the 15th IEEE-RAS International Conference on Humanoid Robots, 2015

2014
Model-based policy gradients with parameter-based exploration by least-squares conditional density estimation.
Neural Networks, 2014

Efficient Reuse of Previous Experiences to Improve Policies in Real Environment.
CoRR, 2014

Development of an upper limb exoskeleton powered via pneumatic electric hybrid actuators with bowden cable.
Proceedings of the 2014 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2014

Orientation in Cartesian space dynamic movement primitives.
Proceedings of the 2014 IEEE International Conference on Robotics and Automation, 2014

Optimal control approach for pneumatic artificial muscle with using pressure-force conversion model.
Proceedings of the 2014 IEEE International Conference on Robotics and Automation, 2014

Online approach for altering robot behaviors based on human in the loop coaching gestures.
Proceedings of the 2014 IEEE International Conference on Robotics and Automation, 2014

Efficient reuse of previous experiences in humanoid motor learning.
Proceedings of the 14th IEEE-RAS International Conference on Humanoid Robots, 2014

Style-phase adaptation of human and humanoid biped walking patterns in real systems.
Proceedings of the 14th IEEE-RAS International Conference on Humanoid Robots, 2014

Observing human movements to construct a humanoid interface.
Proceedings of the 14th IEEE-RAS International Conference on Humanoid Robots, 2014

2013
Bilinear Modeling of EMG Signals to Extract User-Independent Features for Multiuser Myoelectric Interface.
IEEE Trans. Biomed. Eng., 2013

Extraction of primitive representation from captured human movements and measured ground reaction force to generate physically consistent imitated behaviors.
Neural Networks, 2013

Efficient Sample Reuse in Policy Gradients with Parameter-Based Exploration.
Neural Comput., 2013

Combining Correlation-Based and Reward-Based Learning in Neural Control for Policy Improvement.
Adv. Complex Syst., 2013

Integrating visual perception and manipulation for autonomous learning of object representations.
Adapt. Behav., 2013

Neural Combinatorial Learning of Goal-Directed Behavior with Reservoir Critic and Reward Modulated Hebbian Plasticity.
Proceedings of the IEEE International Conference on Systems, 2013

Modeling and control of a Pneumatic-Electric hybrid system.
Proceedings of the 2013 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2013

Design of hybrid drive exoskeleton robot XoR2.
Proceedings of the 2013 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2013

Motion capture and reinforcement learning of dynamically stable humanoid movement primitives.
Proceedings of the 2013 IEEE International Conference on Robotics and Automation, 2013

Off-line path integral reinforcement learning using stochastic robot dynamics approximated by sparse pseudo-input Gaussian processes: Application to humanoid robot motor learning in the real environment.
Proceedings of the 2013 IEEE International Conference on Robotics and Automation, 2013

Canonical correlation analysis for muscle synergies organized by sensory-motor interactions in musculoskeletal arm movements.
Proceedings of the 2013 IEEE International Conference on Robotics and Automation, 2013

An electromyogram based force control coordinated in assistive interaction.
Proceedings of the 2013 IEEE International Conference on Robotics and Automation, 2013

BCI Control of Whole-Body Simulated Humanoid by Combining Motor Imagery Detection and Autonomous Motion Planning.
Proceedings of the Neural Information Processing - 20th International Conference, 2013

Trajectory-model-based reinforcement learning: Application to bimanual humanoid motor learning with a closed-chain constraint.
Proceedings of the 13th IEEE-RAS International Conference on Humanoid Robots, 2013

2012
On-line motion synthesis and adaptation using a trajectory database.
Robotics Auton. Syst., 2012

The eMOSAIC model for humanoid robot control.
Neural Networks, 2012

Real-time stylistic prediction for whole-body human motions.
Neural Networks, 2012

Full-body exoskeleton robot control for walking assistance by style-phase adaptive pattern generation.
Proceedings of the 2012 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2012

Integrating surface-based hypotheses and manipulation for autonomous segmentation and learning of object representations.
Proceedings of the IEEE International Conference on Robotics and Automation, 2012

Using basin ruins and co-moving low-dimensional latent coordinates for dynamic programming of biped walkers on roughing ground.
Proceedings of the IEEE International Conference on Robotics and Automation, 2012

Extraction of latent kinematic relationships between human users and assistive robots.
Proceedings of the IEEE International Conference on Robotics and Automation, 2012

Spatio-temporal synchronization of periodic movements by style-phase adaptation: Application to biped walking.
Proceedings of the IEEE International Conference on Robotics and Automation, 2012

Brain-controlled exoskeleton robot for BMI rehabilitation.
Proceedings of the 12th IEEE-RAS International Conference on Humanoid Robots (Humanoids 2012), Osaka, Japan, November 29, 2012

2011
Learning parametric dynamic movement primitives from multiple demonstrations.
Neural Networks, 2011

Learning and adaptation of a Stylistic Myoelectric Interface: EMG-based robotic control with individual user differences.
Proceedings of the 2011 IEEE International Conference on Robotics and Biomimetics, 2011

Switching multiple LQG controllers based on Bellman's optimality principle: Using full-state feedback to control a humanoid robot.
Proceedings of the 2011 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2011

Nonlinear structure of escape-times to falls for a passive dynamic walker on an irregular slope: Anomaly detection using multi-class support vector machine and latent state extraction by canonical correlation analysis.
Proceedings of the 2011 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2011

XoR: Hybrid drive exoskeleton robot that can balance.
Proceedings of the 2011 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2011

Phase-dependent trajectory optimization for CPG-based biped walking using path integral reinforcement learning.
Proceedings of the 11th IEEE-RAS International Conference on Humanoid Robots (Humanoids 2011), 2011

Segmentation and learning of unknown objects through physical interaction.
Proceedings of the 11th IEEE-RAS International Conference on Humanoid Robots (Humanoids 2011), 2011

An optimal control approach for hybrid actuator system.
Proceedings of the 11th IEEE-RAS International Conference on Humanoid Robots (Humanoids 2011), 2011

2010
Robot Learning.
Proceedings of the Encyclopedia of Machine Learning, 2010

Task-Specific Generalization of Discrete and Periodic Dynamic Movement Primitives.
IEEE Trans. Robotics, 2010

Adaptive Step-size Policy Gradients with Average Reward Metric.
Proceedings of the 2nd Asian Conference on Machine Learning, 2010

Learning Stylistic Dynamic Movement Primitives from multiple demonstrations.
Proceedings of the 2010 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2010

From compliant balancing to dynamic walking on humanoid robot: Integration of CNS and CPG.
Proceedings of the IEEE International Conference on Robotics and Automation, 2010

Extraction of Reward-Related Feature Space Using Correlation-Based and Reward-Based Learning Methods.
Proceedings of the Neural Information Processing. Theory and Algorithms, 2010

2009
Robot learning [TC Spotlight].
IEEE Robotics Autom. Mag., 2009

Nonparametric representation of an approximated Poincaré map for learning biped locomotion.
Auton. Robots, 2009

2008
A Biologically Inspired Biped Locomotion Strategy for Humanoid Robots: Modulation of Sinusoidal Patterns by a Coupled Oscillator Model.
IEEE Trans. Robotics, 2008

Learning CPG-based Biped Locomotion with a Policy Gradient Method: Application to a Humanoid Robot.
Int. J. Robotics Res., 2008

Learning to Acquire Whole-Body Humanoid Center of Mass Movements to Achieve Dynamic Tasks.
Adv. Robotics, 2008

Behavior recognition with ground reaction force estimation and its application to imitation learning.
Proceedings of the 2008 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2008

Low-dimensional feature extraction for humanoid locomotion using kernel dimension reduction.
Proceedings of the 2008 IEEE International Conference on Robotics and Automation, 2008

Hierarchical motor learning and synthesis with passivity-based controller and phase oscillator.
Proceedings of the 2008 IEEE International Conference on Robotics and Automation, 2008

CB: Exploring neuroscience with a humanoid research platform.
Proceedings of the 2008 IEEE International Conference on Robotics and Automation, 2008

2007
Learning a dynamic policy by using policy gradient: application to biped walking.
Syst. Comput. Jpn., 2007

Learning Biped Locomotion.
IEEE Robotics Autom. Mag., 2007

Reinforcement Learning State Estimator.
Neural Comput., 2007

CB: a humanoid research platform for exploring neuroscience.
Adv. Robotics, 2007

Improving humanoid locomotive performance with learnt approximated dynamics via Gaussian processes for regression.
Proceedings of the 2007 IEEE/RSJ International Conference on Intelligent Robots and Systems, October 29, 2007

Learning to acquire whole-body humanoid CoM movements to achieve dynamic tasks.
Proceedings of the 2007 IEEE International Conference on Robotics and Automation, 2007

A simple approach to diverse humanoid locomotion.
Proceedings of the 2007 7th IEEE-RAS International Conference on Humanoid Robots, November 29th, 2007

2006
Learning CPG-based biped locomotion with a policy gradient method.
Robotics Auton. Syst., 2006

Modulation of Simple Sinusoidal Patterns by a Coupled Oscillator Model for Biped Walking.
Proceedings of the 2006 IEEE International Conference on Robotics and Automation, 2006

CB: A Humanoid Research Platform for Exploring NeuroScience.
Proceedings of the 2006 6th IEEE-RAS International Conference on Humanoid Robots, 2006

2005
Robust Reinforcement Learning.
Neural Comput., 2005

Poincaré-Map-Based Reinforcement Learning For Biped Walking.
Proceedings of the 2005 IEEE International Conference on Robotics and Automation, 2005

Learning Sensory Feedback to CPG with Policy Gradient for Biped Locomotion.
Proceedings of the 2005 IEEE International Conference on Robotics and Automation, 2005

Experimental Studies of a Neural Oscillator for Biped Locomotion with QRIO.
Proceedings of the 2005 IEEE International Conference on Robotics and Automation, 2005

Learning CPG Sensory Feedback with Policy Gradient for Biped Locomotion for a Full-Body Humanoid.
Proceedings of the Proceedings, 2005

2004
Learning from demonstration and adaptation of biped locomotion.
Robotics Auton. Syst., 2004

Reinforcement learning with via-point representation.
Neural Networks, 2004

An empirical exploration of phase resetting for robust biped locomotion with dynamical movement primitives.
Proceedings of the 2004 IEEE/RSJ International Conference on Intelligent Robots and Systems, Sendai, Japan, September 28, 2004

A Simple Reinforcement Learning Algorithm for Biped Walking.
Proceedings of the 2004 IEEE International Conference on Robotics and Automation, 2004

An Empirical Exploration of a Neural Oscillator for Biped Locomotion Control.
Proceedings of the 2004 IEEE International Conference on Robotics and Automation, 2004

A framework for learning biped locomotion with dynamical movement primitives.
Proceedings of the 4th IEEE/RAS International Conference on Humanoid Robots, 2004

Acquisition of a biped walking pattern using a Poincare map.
Proceedings of the 4th IEEE/RAS International Conference on Humanoid Robots, 2004

2003
Minimax differential dynamic programming: application to a biped walking robot.
Proceedings of the 2003 IEEE/RSJ International Conference on Intelligent Robots and Systems, Las Vegas, Nevada, USA, October 27, 2003

2002
Characterization of Trench MOS Gate Structures Utilizing Photon Emission Microscopy.
Microelectron. Reliab., 2002

Minimax Differential Dynamic Programming: An Application to Robust Biped Walking.
Proceedings of the Advances in Neural Information Processing Systems 15 [Neural Information Processing Systems, 2002

Nonparametric Representation of Policies and Value Functions: A Trajectory-Based Approach.
Proceedings of the Advances in Neural Information Processing Systems 15 [Neural Information Processing Systems, 2002

2001
Acquisition of stand-up behavior by a real robot using hierarchical reinforcement learning.
Robotics Auton. Syst., 2001

1998
Hierarchical reinforcement learning for motion learning: learning 'stand-up' trajectories.
Adv. Robotics, 1998

Reinforcement learning of dynamic motor sequence: learning to stand up.
Proceedings of the Proceedings 1998 IEEE/RSJ International Conference on Intelligent Robots and Systems. Innovations in Theory, 1998

Hierarchical Reinforcement Learning of Low-Dimensional Subgoals and High-Dimensional Trajectories.
Proceedings of the Fifth International Conference on Neural Information Processing, 1998


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