Related Experiment Video
Updated: Feb 27, 2026

10:35
Fabrication of the Composite Regenerative Peripheral Nerve Interface C-RPNI in the Adult Rat
Published on: February 25, 2020
8.8K
Programming magnetic composites and phase change materials for multimodal haptic interfaces with integrated
1Department of Mechanical Engineering, Stony Brook University (State University of New York at Stony Brook), Stony Brook, NY 11794, USA. shanshan.yao@stonybrook.edu.
Materials Horizons
|February 26, 2026
Summary
This study introduces a new soft, wearable haptic interface using programmable magnetic composites. This device offers multimodal feedback, enhancing human-machine interaction with its compact and self-sensing capabilities.
Area of Science:
- Robotics and Human-Machine Interfaces
- Materials Science and Engineering
- Biomedical Engineering
Background:
- Wearable haptic systems need to be compliant, versatile, and provide rich tactile/proprioceptive feedback.
- Existing devices face limitations in wearability, responsiveness, and integration due to bulkiness and rigidity.
Purpose of the Study:
- To develop a multimodal, self-sensing haptic interface for advanced human-machine interaction.
- To overcome limitations of current haptic devices through a compact, skin-conformal design.
Main Methods:
- Utilized programmable soft magnetic composites and phase change materials for multimodal actuation.
- Incorporated hybrid electromagnetic coils with stretchable conductors and a Kirigami-patterned elastomeric spring.
- Implemented an inductance-based self-sensing mechanism for real-time displacement monitoring and closed-loop control.
Main Results:
- Achieved three working modes: normal, rotational shear, and skin stretch in a compact form factor.
- Generated forces and displacements exceeding human tactile perception thresholds, maintaining performance under deformation.
- Demonstrated accurate encoding of limb position and joint motion for proprioceptive feedback.
Conclusions:
- The developed soft multimodal haptic device enables selective stimulation of cutaneous mechanoreceptors.
- This technology advances wearable human-machine interfaces by providing comprehensive tactile and proprioceptive feedback.
- The self-sensing capability ensures consistent performance and robust integration with the human body.

