Research Article
Research on Path Planning of Mobile Robot with a Novel Improved Artificial Potential Field Algorithm
Table 6
Algorithm comparison on simulation data.
| | Simulation time (s) | Path length (m) | Number of iterations | Planning efficiency (improved) | Path length1 (decreased) (%) | Target convergence speed (improved) |
| Simulation one | APF | 0.1234 | 19.2 | 186 | 44.6 | 10.4 | 29.1 | IAPF | 0.0683 | 17.2 | 132 |
| Simulation two | APF | 0.1354 | 18.7 | 174 | 37.2 | 8.5 | 27.0 | IAPF | 0.0853 | 17.1 | 127 |
| Simulation three | APF | 0.1172 | 18.6 | 183 | 46.8 | 6.9 | 22.4 | IAPF | 0.0723 | 17.3 | 142 | Average planning efficiency (increased) | 42.8% | Average path length (decreased) | 8.6% | Average convergence speed (increased) | 26.1% |
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Note: 1 path length: | (path length of IAPF − path length of APF) | /path length of APF. |