EMG-Based Model Predictive Control for Physical Human–Robot Interaction: Application for Assist-As-Needed Control

Tatsuya Teramae, Tomoyuki Noda, Jun Morimoto

IEEE Robotics and Automation Letters

Robotic SystemsEngineeringUpper ExtremityMotor ControlRehabilitation Robotics +22

Variable Ankle Stiffness Improves Balance Control: Experiments on a Bipedal Exoskeleton

Barkan Uğurlu, Corinne Doppmann, Masashi Hamaya, +4

IEEE/ASME Transactions on Mechatronics

Variable Physical StiffnessRobot KinematicsNeuromuscular CoordinationMovement BiomechanicsMotor Control +24

Learning assistive strategies for exoskeleton robots from user-robot physical interaction

Masashi Hamaya, Takamitsu Matsubara, Tomoyuki Noda, +2

Pattern Recognition Letters

Development of an upper limb exoskeleton powered via pneumatic electric hybrid actuators with bowden cable

Tomoyuki Noda, Tatsuya Teramae, Barkan Uğurlu, +1

EngineeringMechanical EngineeringMotor ControlBiomedical EngineeringUpper Limb Exoskeleton +22

Design of physical user–robot interactions for model identification of soft actuators on exoskeleton robots

Masashi Hamaya, Takamitsu Matsubara, Tatsuya Teramae, +2

The International Journal of Robotics Research

Robot KinematicsPam ModelsRobotic SystemsEngineeringMechanical Engineering +26

Human Movement Modeling to Detect Biosignal Sensor Failures for Myoelectric Assistive Robot Control

Jun-ichiro Furukawa, Tomoyuki Noda, Tatsuya Teramae, +1

IEEE Transactions on Robotics

EngineeringWearable TechnologyUpper ExtremityMotor ControlBiomedical Engineering +18

An electromyogram based force control coordinated in assistive interaction

Tomoyuki Noda, Jun-ichiro Furukawa, Tatsuya Teramae, +2

Robot KinematicsEmg SignalNeuromuscular CoordinationEngineeringMotor Control +18

An EMG-Driven Weight Support System With Pneumatic Artificial Muscles

Jun-ichiro Furukawa, Tomoyuki Noda, Tatsuya Teramae, +1

IEEE Systems Journal

Upright PostureEngineeringBiomedical EngineeringMovement AnalysisEmg Signals +22

Learning assistive strategies from a few user-robot interactions: Model-based reinforcement learning approach

Masashi Hamaya, Takamitsu Matsubara, Tomoyuki Noda, +2

Artificial IntelligenceEngineeringSocially Assistive RobotIntelligent RoboticsMotor Control +23

Optimal control approach for pneumatic artificial muscle with using pressure-force conversion model

Tatsuya Teramae, Tomoyuki Noda, Jun Morimoto

EngineeringMechanical EngineeringMotor ControlKinesiologySoft Robotics +21