Research ArticleSOFT ROBOTS

Soft optoelectronic sensory foams with proprioception

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Science Robotics  28 Nov 2018:
Vol. 3, Issue 24, eaau2489
DOI: 10.1126/scirobotics.aau2489
  • Table 1 Classifier model error rate.

    Error rates of the classification models.

    kNNSVMsTree
    000.05
  • Table 2 Single-output regression model errors.

    Mean absolute errors for each deformation mode. CW, clockwise; CCW, counterclockwise.

    kNNGPsMLPsSVMsTreeLinear
    Bend up0.071.591.743.105.026.50
    Bend down0.081.882.722.925.258.92
    Twist CW01.812.361.984.505.87
    Twist CCW0.072.052.393.274.435.92
    Mean0.061.832.302.824.806.80
  • Table 3 Multi-output regression model errors.

    Mean absolute errors.

    kNNMLPsLinear
    0.011.4313.9

Supplementary Materials

  • Supplementary Materials

    The PDF file includes:

    • Fig. S1. Random versus greedy feature removal.
    • Table S1. Model parameters for best prediction models.
    • Table S2. Model evaluation times.

    Download PDF

    Other Supplementary Material for this manuscript includes the following:

    • Movie S1 (.mp4 format). Real-time deformation prediction.

    Files in this Data Supplement:

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