Fig. 5: Comparison between animal and robot gait selection policy strategies during increasing linear velocity. | Nature Machine Intelligence

Fig. 5: Comparison between animal and robot gait selection policy strategies during increasing linear velocity.

From: Learning to adapt through bio-inspired gait strategies for versatile quadruped locomotion

Fig. 5

a, The bottom two plots of all robot data indicate the percentage of each gait utilized at that velocity. Magenta, purple and blue shaded regions indicate the transition phases of \({\pi }_{{\mathrm{G}}}^{{\rm{uni}}}\), \({\pi }_{{\mathrm{G}}}^{{W}_{{\rm{ext}}}}\) and animals, respectively. This study compares transition strategies of \({\pi }_{{\mathrm{G}}}^{{\rm{uni}}}\) and \({\pi }_{{\mathrm{G}}}^{{\rm{CoT}}}\) with data collected from dogs35 and horses33,46 in terms of CoT (top left), \({\pi }_{{\mathrm{G}}}^{{\rm{uni}}}\) and \({\pi }_{{\mathrm{G}}}^{{\tau }_{ \% }}\) with data collected from horses37 in terms of foot ground reaction forces (top right), \({\pi }_{{\mathrm{G}}}^{{\rm{uni}}}\) and \({\pi }_{{\mathrm{G}}}^{{W}_{{\rm{ext}}}}\) with horses33 in terms of external work (bottom left), and \({\pi }_{{\mathrm{G}}}^{{\rm{uni}}}\) and \({\pi }_{{\mathrm{G}}}^{{c}^{{\rm{err}}}}\) with opossums and dogs35 (bottom right). b, Mapping the correlation between metrics and the average gait ID selected across velocities for terrains \({h}_{{\rm{terr}}}^{0}\) and \({h}_{{\rm{terr}}}^{3}\), with the dataset of each terrain consisting of 31 data points averaged over 1,000 samples.

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