Name
Abstract | ||
|---|---|---|
On a remote vehicle manipulation, both a task scheduling and an adequate selecting of operation commands are significant to execute sequential task successfully. Hence, for a future assistive intelligent mechatronics, automatic recognition of the operator's task-switching is required to support him / her timely. In the present research, an analysis procedure to make the task-switching strategy visible is presented by utilizing the Self-Organizing Map (SOM). For practical verification, a cooperation task in a virtual computer space was used, and the proposed analysis procedure was applied to the experimental data. As a result, obvious separation of each operation mode was demonstrated as the operator became skilled. And, it was confirmed that the proposed method was valid for a skill evaluation of remote vehicle manipulation. |
Year | DOI | Venue |
|---|---|---|
2009 | 10.1109/ROMAN.2009.5326339 | RO-MAN 2009: THE 18TH IEEE INTERNATIONAL SYMPOSIUM ON ROBOT AND HUMAN INTERACTIVE COMMUNICATION, VOLS 1 AND 2 |
Keywords | Field | DocType |
classification,remotely operated vehicles,ontologies,mobile robots,data mining,self organizing map,task switching,hidden markov models | Remotely operated underwater vehicle,Computer vision,Virtual machine,Computer science,Simulation,Task switching,Scheduling (computing),Self-organizing map,Artificial intelligence,Hidden Markov model,Mechatronics,Mobile robot | Conference |
Citations | PageRank | References |
1 | 0.34 | 1 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Satoshi Suzuki | 1 | 394 | 33.37 |
| T. Sasaki | 2 | 14 | 4.57 |
| Fumio Harashima | 3 | 168 | 25.48 |