Name
Affiliation
Papers
JUN MORIMOTO
ATR Computational Neuroscience Laboratories, Department of Brain Robot Interface, 2-2-2 Hikaridai, Seika-cho, Soraku-gun, Kyoto 619-0288, Japan
45
Collaborators
Citations 
PageRank 
66
296
24.17
Referers 
Referees 
References 
591
812
498
Search Limit
100812
Title
Citations
PageRank
Year
Deep learning, reinforcement learning, and world models00.342022
Implicit Contact Dynamics Modeling With Explicit Inertia Matrix Representation for Real-Time, Model-Based Control in Physical Environment00.342022
Design Of Physical User-Robot Interactions For Model Identification Of Soft Actuators On Exoskeleton Robots10.352021
Parallel and hierarchical neural mechanisms for adaptive and predictive behavioral control00.342021
A Collaborative Filtering Approach Toward Plug-and-Play Myoelectric Robot Control00.342021
Composing An Assistive Control Strategy Based On Linear Bellman Combination From Estimated User'S Motor Goal10.352021
Computationally Affordable Hierarchical Framework for Humanoid Robot Control00.342021
Quaternion-Based Trajectory Optimization Of Human Postures For Inducing Target Muscle Activation Patterns00.342020
Full-Body Optimal Control Toward Versatile and Agile Behaviors in a Humanoid Robot.10.352020
Phase Portraits as Movement Primitives for Fast Humanoid Robot Control00.342020
Exploiting Human and Robot Muscle Synergies for Human-in-the-loop Optimization of EMG-based Assistive Strategies00.342019
Stable Control of Force, Position, and Stiffness for Robot Joints Powered via Pneumatic Muscles.10.362019
Skill learning and action recognition by arc-length dynamic movement primitives.30.402018
Human-In-The-Loop Control and Task Learning for Pneumatically Actuated Muscle Based Robots.10.352018
Emg-Based Model Predictive Control For Physical Human-Robot Interaction: Application For Assist-As-Needed Control30.422018
Development Of Shoulder Exoskeleton Toward Bmi Triggered Rehabilitation Robot Therapy00.342018
An optimal control strategy for hybrid actuator systems: Application to an artificial muscle with electric motor assist.00.342018
Investigation on the Neural Correlates of Haptic Training00.342018
Database-driven approach for Biosignal-based robot control with collaborative filtering00.342017
Human Movement Modeling to Detect Biosignal Sensor Failures for Myoelectric Assistive Robot Control.40.502017
Learning task-parametrized assistive strategies for exoskeleton robots by multi-task reinforcement learning.00.342017
Power-augmentation control approach for arm exoskeleton based on human muscular manipulability.10.362017
Learning assistive strategies for exoskeleton robots from user-robot physical interaction.90.682017
Model-based reinforcement learning with dimension reduction.10.352016
Adaptation and coaching of periodic motion primitives through physical and visual interaction140.662016
Spatiotemporal synchronization of biped walking patterns with multiple external inputs by style-phase adaptation.20.382015
Sparsely Extracting Stored Movements To Construct Interfaces For Humanoid End-Effector Control00.342015
Optimal control approach for pneumatic artificial muscle with using pressure-force conversion model40.522014
Development of an upper limb exoskeleton powered via pneumatic electric hybrid actuators with bowden cable40.462014
An electromyogram based force control coordinated in assistive interaction.80.652013
BCI Control of Whole-Body Simulated Humanoid by Combining Motor Imagery Detection and Autonomous Motion Planning.00.342013
Extraction of primitive representation from captured human movements and measured ground reaction force to generate physically consistent imitated behaviors.20.392013
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 environment10.392013
Design of hybrid drive exoskeleton robot XoR230.462013
Modeling and control of a Pneumatic-Electric hybrid system40.482013
The eMOSAIC model for humanoid robot control.90.572012
Extraction of latent kinematic relationships between human users and assistive robots.70.612012
Integrating surface-based hypotheses and manipulation for autonomous segmentation and learning of object representations60.462012
On-line motion synthesis and adaptation using a trajectory database281.012012
Learning and adaptation of a Stylistic Myoelectric Interface: EMG-based robotic control with individual user differences.90.602011
Learning parametric dynamic movement primitives from multiple demonstrations391.432011
An optimal control approach for hybrid actuator system70.672011
Task-Specific Generalization of Discrete and Periodic Dynamic Movement Primitives1214.162010
eMOSAIC model for humanoid robot control10.352010
Adaptive Step-size Policy Gradients with Average Reward Metric10.362010