Name
Abstract | ||
|---|---|---|
This paper presents experiments with a Nomad 200mobile robot, acquiring a sensor model of a specificenvironment and using this model to predict robotenvironmentinteraction. Data obtained by operating thereal robot in the real target environment is used to train aset of 16 artificial neural networks which can later be usedto model robot-environment interaction and predict thebehaviour of the real robot in off-line simulation. A numberof experimental results are presented, demonstrating... |
Year | Venue | Keywords |
|---|---|---|
1998 | ESM | mobile robot simulation,neural network models,artificial neural network,neural network model,mobile robot |
DocType | ISBN | Citations |
Conference | 1-56555-148-6 | 8 |
PageRank | References | Authors |
0.82 | 6 | 3 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Ten-min Lee | 1 | 8 | 0.82 |
| Ulrich Nehmzow | 2 | 430 | 41.09 |
| Roger J. Hubbold | 3 | 520 | 52.85 |