Skip to content
master
Switch branches/tags
Code

Latest commit

 

Git stats

Files

Permalink
Failed to load latest commit information.
Type
Name
Latest commit message
Commit time
 
 
 
 

Tactile Learning

Tactile Datasets

Supplementary material and dataset for the "Towards Effective Tactile Identification of Textures using a Hybrid Touch Approach", T. Taunyazov et al.

Dataset description

This dataset contains tactile sensor data 23 textures. The data are gathered from iCub's forearm tactile sensor for touch and slide. Each object has 3 folders:

  1. slide_raw
  2. touch_raw (only 10 samples)
  3. touch_raw2

Each folder there contains 3 folders:

  1. right_arm_encoders: encoder values of 15 dof of iCub's right arm
  2. right_forearm_comp: tactile sensor values
  3. skin_events: force values

These are objects' ids used in the paper:

  • BT -> bathTowel
  • CB -> cardBoard
  • PM -> carpetNet
  • CC -> cork
  • CH -> cotton
  • FM -> cuisionFoam
  • CS -> denim
  • ES -> eva
  • LC -> fakeLeather
  • FL -> felt
  • FB -> fiberBoard
  • MS -> metal
  • RS -> paper1
  • LM -> paper2
  • PS -> polypropileno
  • CT -> polypropilenoSmooth
  • BM -> softMaterial1
  • CP -> softMaterial2
  • SS -> spongeWhiteSmall
  • PF -> styrofoam
  • WP -> thinPolypropylene
  • BD -> woodHard
  • YM -> yogaMat

Materials with IDs

About

Dataset for our paper "Towards Effective Tactile Identification of Textures using a Hybrid Touch Approach" (ICRA 2019)

Topics

Resources

Releases

No releases published

Packages

No packages published