Research Article

A Fusion Method of Local Path Planning for Mobile Robots Based on LSTM Neural Network and Reinforcement Learning

Table 9

Results of the FL, LSTM_FT, and LSTM_FTR models in Figure 19.

Figure 19FLLSTM_FTLSTM_FTR
Path lengthAverage decision time (s)Path lengthAverage decision time (s)Path lengthAverage decision time (s)

a29.54180.490629.58780.361929.54690.3747
b37.44850.667737.52320.449636.88040.4528
c46.31330.544646.74850.419740.92220.4131
d38.24980.521239.89800.392833.74670.3813
e70.09930.647571.13760.514172.07110.5174
f59.11280.7891