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Perception-Feedback Mapping Strategies for Flexible Human-Machine Interfaces
Ruoxi Yang1, Shiwei Xu1, Wenbo Pang1
1Applied Mechanics Laboratory, Department of Engineering Mechanics, Tsinghua University, Beijing, P. R. China.
Advanced Materials (Deerfield Beach, Fla.)
|August 12, 2026
Summary
Flexible human-machine interfaces (HMIs) require effective control strategies to translate sensor data into feedback. This review categorizes and analyzes perception-feedback mapping methods for advanced flexible HMIs.
Area of Science:
- Materials Science
- Robotics
- Human-Computer Interaction
Background:
- Flexible human-machine interfaces (HMIs) are rapidly advancing due to progress in materials science and device fabrication.
- Enhanced sensing and feedback devices have expanded the capabilities of flexible HMIs.
- Broader deployment hinges on effective control strategies linking sensing to feedback.
Purpose of the Study:
- To review and analyze perception-feedback mapping strategies for flexible HMIs.
- To propose a systematic framework for classifying these mapping strategies.
- To discuss current challenges and future directions in flexible HMI development.
Main Methods:
- Introduction of representative flexible sensing and feedback modules and system architectures.
- Analysis of the relationship between sensed inputs and feedback outputs.
- Classification of mapping strategies into command-based, continuous, and closed-loop control.
Main Results:
- A systematic framework for perception-feedback mapping in flexible HMIs is proposed.
- Three main categories of mapping strategies (command-based, continuous, closed-loop) are discussed.
- Operating principles, system implementation, and applications for each category are detailed.
Conclusions:
- Effective perception-feedback mapping is crucial for flexible HMI performance.
- Further research is needed for more robust, generalizable, and integrated flexible HMI systems.
- Advancements in control strategies will drive the broader deployment of flexible HMIs.
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