Abstract
A household use mobile robot is expected to perform daily duties such as cleaning and polishing the floor, delivering small items and security patrol. To accomplish these tasks, this robot must navigate in a continuously changing indoor environment and avoid obstacles. A self-navigation algorithm has been developed for such purposes by the use of neural networks. With the aid of self-navigation, this robot can be used to cover the entire floor area for cleaning purposes or move from one place to another for delivery. Through the abilities of learning and competing provided by the neural networks, the robot is capable of exploring unknown environment and searching for optimum paths so that it can fulfill its tasks with smallest overlapping spaces and minimum number of turns for energy conservation.
| Original language | English |
|---|---|
| Title of host publication | IEEE International Conference on Neural Networks - Conference Proceedings |
| Publisher | IEEE |
| Pages | 2151-2156 |
| Volume | 3 |
| DOIs | |
| Publication status | Published - 1998 |
| Event | 1998 IEEE International Joint Conference on Neural Networks (IJCNN 1998) - Anchorage, AK, USA Duration: 4 May 1998 → 9 May 1998 |
Conference
| Conference | 1998 IEEE International Joint Conference on Neural Networks (IJCNN 1998) |
|---|---|
| City | Anchorage, AK, USA |
| Period | 4/05/98 → 9/05/98 |
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