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Related Experiment Video

Updated: Jul 16, 2026

Force and Position Control in Humans - The Role of Augmented Feedback

Force and Position Control in Humans - The Role of Augmented Feedback

Published on: June 19, 2016

Variable Impedance Control for Force Tracking in Multi-Mode Robotic Back Massage.

Jingbo Xu¹, Chong Ren¹, Xiangjie Kong²

¹School of Medical Devices, Zhejiang Pharmaceutical University, Ningbo 315500, China.

Sensors (Basel, Switzerland)

|July 15, 2026

Summary

This study introduces an adaptive robot control framework for safe human back interaction. The novel approach enhances force tracking accuracy during Traditional Chinese Medicine manipulations.

Keywords:

Traditional Chinese Medicine admittance control closed architecture force control robotic massage variable impedance control

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Last Updated: Jul 16, 2026

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A Structured Rehabilitation Protocol for Improved Multifunctional Prosthetic Control: A Case Study

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Published on: November 6, 2015

Area of Science:

Robotics
Biomechanics
Control Systems

Background:

Safe physical interaction with the human back is difficult due to physiological factors like breathing and tissue variability.
Existing robot control systems struggle with precise force tracking in such complex environments.

Purpose of the Study:

To develop an adaptive variable damping admittance control framework for robots interacting with the human back.
To improve compliant force tracking in closed position-control robot architectures.

Main Methods:

Implemented a stiffness-free admittance model to eliminate steady-state errors.
Integrated a nonlinear adaptive damping law using multi-dimensional force sensor feedback.
Validated the framework using MATLAB-CoppeliaSim co-simulation of Traditional Chinese Medicine manipulations.

Main Results:

Achieved significant improvements in force tracking fidelity compared to fixed-parameter control.
Maintained root mean square error (RMSE) below 0.42 N and mean absolute error (MAE) within 0.32 N.
Attained a squared correlation coefficient (r2) exceeding 0.97 for complex therapeutic waveforms.

Conclusions:

The proposed sensor-driven adaptive control framework demonstrates high efficiency for robot-assisted physical interactions.
The technology shows significant clinical potential for applications like Traditional Chinese Medicine.
The system effectively manages dynamic impacts while maintaining low impedance during steady-state interactions.