Name
Abstract | ||
|---|---|---|
A simple, short and efficient chaotic path planning algorithm is proposed for autonomous mobile robots, with the aim of covering a given terrain using chaotic, unpredictable motion. The proposed technique utilizes the logistic map with a chaotic tactic that utilizes a modulo function to produce a sequence of directions for a robot that can move in eight different directions on a grid. Extensive simulations are performed, and the results show a fast and efficient scanning of the given area. In addition, the proposed algorithm is further enhanced with a pheromone inspired memory technique, with good improvements in efficiency. |
Year | DOI | Venue |
|---|---|---|
2020 | 10.1016/j.robot.2019.103377 | Robotics and Autonomous Systems |
Keywords | Field | DocType |
Autonomous mobile robot,Path planning,Terrain coverage,Chaos,Logistic map | Motion planning,Computer vision,Computer science,Modulo,Algorithm,Logistic map,Artificial intelligence,Chaotic,Robot,Modulo operation,Grid,Mobile robot | Journal |
Volume | ISSN | Citations |
124 | 0921-8890 | 2 |
PageRank | References | Authors |
0.38 | 0 | 5 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Moysis, L. | 1 | 9 | 6.35 |
| Eleftherios Petavratzis | 2 | 2 | 0.38 |
| Christos K. Volos | 3 | 140 | 24.93 |
| H. E. Nistazakis | 4 | 47 | 12.15 |
| Ioannis Stouboulos | 5 | 2 | 0.38 |