Table 9 Deviation errors on circular and square paths in Q2.

From: Path-based evaluation of deep learning models for solving inverse kinematics in a revolute-prismatic robot

Model

Path shape

Deviation error (mm)

DFNN with K-fold CV (single o/p)

Square

0.410

DFNN with K-fold CV (dual o/p)

0.378

DFNN without CV

0.511

LSTM

0.449

GRU

0.459

DFNN with K-fold CV (single o/p)

Circle

0.366

DFNN with K-fold CV (dual o/p)

0.708

DFNN without CV

0.523

LSTM

0.471

GRU

0.428

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