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Related Concept Videos

Tactile Conditioning And Movement Analysis Of Antennal Sampling Strategies In Honey Bees (Apis mellifera L.)10:14

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Related Experiment Video

Updated: Jan 20, 2026

Tactile Conditioning And Movement Analysis Of Antennal Sampling Strategies In Honey Bees Apis mellifera L.
10:14

Tactile Conditioning And Movement Analysis Of Antennal Sampling Strategies In Honey Bees Apis mellifera L.

Published on: December 12, 2012

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Flexible Tactile Sensor Array for Slippage and Grooved Surface Recognition in Sliding Movement.

Yancheng Wang1,2, Jianing Chen3, Deqing Mei4,3

  • 1State Key Laboratory of Fluid Power and Mechatronic Systems, School of Mechanical Engineering, Zhejiang University, Hangzhou 310027, China. yanchwang@zju.edu.cn.

Micromachines
|September 5, 2019
PubMed
Summary

This study introduces a novel flexible tactile sensor array capable of identifying surface textures and detecting slippage. The new method enhances robotic manipulation and human-robot interactions.

Keywords:
finite element modelinggrooved surfaceinclined anglespectral analysissurface texturetactile sensor arraywavelet transform

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Last Updated: Jan 20, 2026

Tactile Conditioning And Movement Analysis Of Antennal Sampling Strategies In Honey Bees Apis mellifera L.
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Applying Incongruent Visual-Tactile Stimuli during Object Transfer with Vibro-Tactile Feedback
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Area of Science:

  • Robotics
  • Materials Science
  • Artificial Intelligence

Background:

  • Dexterous grasping and manipulation in robotics require advanced tactile sensing capabilities.
  • Distinguishing surface textures is more challenging than force sensing due to limited discriminative information.

Purpose of the Study:

  • To investigate a novel method for flexible tactile sensor arrays to discriminate slippage and grooved surfaces.
  • To enhance robotic perception for safer and more effective human-robot interactions.

Main Methods:

  • Utilized a 3x3 multi-layer tactile sensor array with finite element modeling (FEM).
  • Employed wavelet transform analysis to detect slippage via normal force changes.
  • Developed a phase delay algorithm for discriminating grooved surface features like roughness and angle.

Main Results:

  • Successfully identified initial slippage occurrence on a plate surface.
  • Effectively discriminated between periodic roughness and inclined angles on grooved surfaces using the phase delay algorithm.
  • Demonstrated the potential of the tactile sensor array for advanced surface texture recognition.

Conclusions:

  • The proposed flexible tactile sensor array and recognition method show promise for applications in human-robot interaction.
  • This technology can improve the dexterity and safety of robotic systems in complex environments.