Name
Abstract | ||
|---|---|---|
This paper describes a novel qualitative navigation method for indoor environments, implemented on top of a c ommercial power wheelchair. Our approach is based on qu alitative representations of variations in sensor behavior between adjacent regions in space. We use these representations to localize and guide planning and reaction. Off-line, the system accepts as input a topological diagram of the environment and generates a map based on a simple qualitative model of sensor behavior. During execution, the robot controller integrates this map into a reaction module. We have tested this architecture both in simulation and in a real wheelchair. Our experimental results show that the proposed method can safely navigate a real robot in indoor environments. |
Year | Venue | Field |
|---|---|---|
1996 | ECAI | Wheelchair,Computer science,Human–computer interaction,Artificial intelligence,Mobile robot navigation,Robot,Machine learning |
DocType | Citations | PageRank |
Conference | 2 | 1.42 |
References | Authors | |
7 | 5 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| sgouros tsanakas | 1 | 2 | 1.42 |
| Nikitas M. Sgouros | 2 | 87 | 20.98 |
| Panayotis Tsanakas | 3 | 125 | 19.81 |
| George K. Papakonstantinou | 4 | 159 | 61.88 |
| nikos katevas | 5 | 2 | 1.42 |