Artificial Tactile Perception System for Exploring Internal and External Features of Objects via Time‐Frequency Features
Perceiving both external and internal object features is essential for accurate recognition and manipulation of humans and robots. However, relying on a single signal processing paradigm may hinder the extraction of specific tactile information from structurally similar signals, posing challenges in both accuracy and computational efficiency in artificial tactile perception systems. Active contact offers a means to modulate the mechanical interaction between tactile systems and objects, enabling targeted perception of specific properties. This work presents a flexible piezoelectric tactile sensing device with active perception capability. It exhibits high force sensitivity (<0.02 N), multi-axis responsiveness, a wide frequency response range (upper than 2000 Hz), and high spectral resolution (<1 Hz). With two distinct active exploration motions (sliding and vibration), the system extracts edge features through time-domain spike characteristics and infers internal contents via frequency-domain decay trends. The device is integrated on the fingertip of a robotic dexterous hand, demonstrating its effectiveness in tasks such as texture recognition and liquid identification. It also shows promise for handling complex interaction tasks involving multiple subtasks. This study contributes to the advancement of tactile interaction paradigms in robotics and provides a foundation for more intuitive and adaptable robotic perception in human-centered environments.
Authors
- Z. Q. Zhang (ORCID: https://orcid.org/0000-0003-2559-5269)
- Xingmin Lu (ORCID: https://orcid.org/0000-0001-8642-2658)
- Xuchun Gui (ORCID: https://orcid.org/0000-0001-7430-3643)
- Yuanzhi Zhou (ORCID: https://orcid.org/0000-0002-3972-4300)
- Jun Zhang (ORCID: https://orcid.org/0000-0002-9505-2027)
- Xinming Li (ORCID: https://orcid.org/0000-0002-7844-8417)
- Zilan Li (ORCID: https://orcid.org/0000-0002-4848-787X)
- M. Huang (ORCID: https://orcid.org/0009-0000-5948-9793)
Institutions
- Sun Yat-sen University (CN)
- South China Normal University (CN)
Publication Details
- Journal
- Advanced Science
- Published
- 2025-11-11
- DOI
- https://doi.org/10.1002/advs.202509928
- Primary Topic
- Advanced Sensor and Energy Harvesting Materials
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- South China Normal University