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Table 1 The optimized parameters for SFM, MSFM and SNM using Genetic Algorithm (GA)

From: Social interactive robot navigation based on human intention analysis from face orientation and human path prediction

Parameters m r τ r \(k_{\textit {ph}}^{o}\) \(k_{\textit {so}}^{o}\) s o \(k_{\textit {ph}}^{h}\) \(k_{\textit {so}}^{h}\) s h λ FS s FS  
Unit kg m   N/m N m N/m N m - N/m m  
SFM [37] 80 0.2 0.5 600 100 0.01 250 70 0.4 0.5 - -  
SFM 74 0.22 0.44 611 89 0.05 273 64 0.35 0.7 - -  
MSFM 76 0.21 0.49 647 92 0.02 255 66 0.5 0.6 25 0.24  
SNM 79 0.23 0.57 594 99 0.03 273 65 0.51 0.68 37 0.27