A Quasi-homogeneous-Integrated Flexible Proximity-Pressure Dual-Mode Sensor for Human Machine Interaction
Yinhao Wang1, Tiantong Wang1, Qi Wu1
1Beijing Institute of Technology, Beijing 100081, China.
ACS Applied Materials & Interfaces
|February 16, 2026
Summary
This study introduces a flexible dual-mode sensor for enhanced human-machine interaction (HMI). The novel sensor offers improved proximity and pressure sensing capabilities with exceptional durability for advanced robotics and HMI applications.
Area of Science:
- Materials Science
- Robotics
- Sensor Technology
Background:
- Flexible sensors are crucial for advancing human-machine interaction (HMI) and robotic applications.
- Current flexible sensors face challenges in achieving reliable dual-mode sensing (proximity and pressure) and ensuring long-term durability.
- Existing multilayered flexible sensors often suffer from weak interfacial adhesion, limiting their robustness.
Purpose of the Study:
- To develop a flexible dual-mode sensor capable of simultaneous proximity and pressure sensing.
- To enhance the durability and reliability of flexible sensors for demanding applications.
- To demonstrate the sensor's potential in intelligent robot control and HMI platforms.
Main Methods:
- Designed a flexible dual-mode sensor utilizing a coplanar square-maze-structured capacitor for proximity sensing.
- Incorporated a gradient porous structure with a capacitive-piezoresistive conversion mechanism for pressure sensing.
- Developed a quasi-homogeneous-integrated structure using polydimethylsiloxane (PDMS) and PDMS/carbon nanotube composites to improve durability.
Main Results:
- Achieved a remarkable proximity sensing range of up to 250 mm.
- Demonstrated an extended pressure sensing range of 0-200 kPa with enhanced sensitivity (up to 6.431 kPa-1).
- Exhibited excellent durability and robust performance in dual-mode grasping control and HMI experiments.
Conclusions:
- The developed flexible dual-mode sensor effectively addresses the limitations of current technologies.
- The sensor shows significant potential for applications in intelligent robot control and advanced human-machine interaction.
- The integrated structure and material choices ensure superior performance and longevity.


