A Path-Planning Approach Based on Potential and Dynamic Q-Learning for Mobile Robots in Unknown Environment

<div>Compared mean path length of various path-planning algorithms for MR (the interval on each bar denotes the standard deviation of the path length). (a) M01. (b) M02. (c) M03. (d) M04. (e) M05. (f) M06. (g) M07. (h) M08. (i) M09.</div>

Computational Intelligence and Neuroscience

fig4

Figure 4

Figure 4: A Path-Planning Approach Based on Potential and Dynamic Q-Learning for Mobile Robots in Unknown Environment 