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Haptic/Graphic Rehabilitation: Integrating a Robot into a Virtual Environment Library and Applying it to Stroke Therapy

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An Adaptive Shared Control Frame and Feedback Rendering in Interactive Robot-Assisted Surgical Manipulation.

Hao Ren¹, Li Zhichao¹, Qingyuan Wu¹

¹Department of Mechanical Engineering, Tsinghua University, Beijing, China.

The International Journal of Medical Robotics + Computer Assisted Surgery : MRCAS

|May 19, 2025

Summary

This summary is machine-generated.

This study introduces an adaptive control framework for shared control systems, enhancing human-robot collaboration. The method improves tracking precision and allows rapid operator override, maintaining stability and flexibility in surgical tasks.

Keywords:

active constraint human‐robot interaction robot‐assisted surgery shared control

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Area of Science:

Robotics
Human-Computer Interaction
Control Systems

Background:

Shared control enables human-robot collaboration in real-time decision-making environments.
Existing methods struggle with precision loss, inconsistency, and unintended human inputs.

Purpose of the Study:

To develop an adaptive anisotropic control framework for enhanced shared control.
To improve precision, consistency, and operator override capabilities in human-robot interaction.

Main Methods:

An adaptive anisotropic control frame with a dynamic weight function for operator override.
Predefined trajectory and preferred direction compensation for accurate tracking.
Evaluation and optimization of haptic feedback during shared control.

Main Results:

Achieved high tracking precision () under milling payload with sensible operator feedback.
Demonstrated rapid override manipulation (within 0.4 s) at the tactical interaction level.

Conclusions:

The proposed approach offers stability and flexibility for interactive surgical manipulations.
Maintains precision comparable to autonomous execution in shared control scenarios.