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Table 6 Key performance indicator (KPI) average variances (mm 2 ) of three KUKA robots with heuristic and optimized experimental designs for parameter identification

From: A computational method for key-performance-indicator-based parameter identification of industrial manipulators

Cost function

Average variance of KPI (mm 2 ): \(\boldsymbol{\frac{1}{3}\operatorname{tr}( {C}_{s})}\)

Heuristic

Optimized with collision avoidance

\(\boldsymbol{\phi_{A}( {C}_{p})}\)

\(\boldsymbol{\phi_{A}( {C}_{s})}\)

KR 15

0.59

0.40

0.33

KR 300

0.58

0.39

0.35

KR 500

0.61

0.40

0.35

 

Heuristic

Standard method

KPI method

  1. Optimizations are performed with different cost functions.