Name
Title | ||
|---|---|---|
Reinforcement Learning and ART2 Neural Network Based Collision Avoidance System of Mobile Robot |
Abstract | ||
|---|---|---|
In view of the collision avoidance problem of multi-moving-obstacles in path planning of mobile robot, we present a solution based on reinforcement learning and ART2 (Adaptive Resonance Theory 2) neural network as well as the method of rule-based collision avoidance. The simulation experiment shows that the solution is of good flexibility and can solve the problem on random moving obstacles. |
Year | DOI | Venue |
|---|---|---|
2004 | 10.1007/978-3-540-28648-6_6 | ADVANCES IN NEURAL NETWORKS - ISNN 2004, PT 2 |
Keywords | Field | DocType |
mobile robot,reinforcement learning,rule based,neural network,simulation experiment,path planning | Motion planning,Adaptive resonance theory,Simulation,Computer science,Collision,Artificial intelligence,Collision avoidance system,Artificial neural network,Mobile robot,Machine learning,Reinforcement learning | Conference |
Volume | ISSN | Citations |
3174 | 0302-9743 | 2 |
PageRank | References | Authors |
0.82 | 6 | 4 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Jian Fan | 1 | 2 | 1.16 |
| Gengfeng Wu | 2 | 159 | 18.86 |
| Fei Ma | 3 | 2 | 0.82 |
| Jian Liu | 4 | 289 | 59.26 |