Name
Abstract | ||
|---|---|---|
This paper proposes a probabilistic object-object relation based approach for an active object search. An important role of mobile robots will be to perform object-related tasks and active object search strategies deal with the non-trivial task of finding an object in unstructured and dynamically changing environments. This work builds further upon an existing approach exploiting probabilistic object-room relations for selecting the room in which an object is expected to be. Learnt objectobject relations allow to search for objects inside a room via a chain of intermediate objects. Simulations have been performed to investigate the effect of the camera quality on path length and failure rate. Furthermore, a comparison is made with a benchmark algorithm based the same prior knowledge but without using a chain of intermediate objects. An experiment shows the potential of the proposed approach on the AMIGO robot. |
Year | DOI | Venue |
|---|---|---|
2013 | 10.1007/978-3-662-44468-9_2 | ROBOCUP 2013: ROBOT WORLD CUP XVII |
Field | DocType | Volume |
Object-oriented design,Active object,Computer vision,Method,Simulation,Computer science,Object model,Failure rate,Artificial intelligence,Probabilistic logic,Robot,Mobile robot | Conference | 8371 |
ISSN | Citations | PageRank |
0302-9743 | 4 | 0.40 |
References | Authors | |
14 | 4 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| J. Elfring | 1 | 46 | 3.53 |
| Simon Jansen | 2 | 4 | 0.40 |
| René van de Molengraft | 3 | 194 | 23.48 |
| Maarten Steinbuch | 4 | 658 | 96.53 |