Supporting Semantic Capture During Kinesthetic Teaching of Collaborative Industrial Robots
| Autor: | Maj Stenmark, Jacek Malec, Mathias Haage, Elin Anna Topp |
|---|---|
| Rok vydání: | 2018 |
| Předmět: |
Personal robot
0209 industrial biotechnology Linguistics and Language Vocabulary Computer Networks and Communications Computer science media_common.quotation_subject Context (language use) 02 engineering and technology computer.software_genre Semantic data model law.invention Industrial robot 020901 industrial engineering & automation Artificial Intelligence law Human–computer interaction 0202 electrical engineering electronic engineering information engineering Graphical user interface media_common Multimedia business.industry Knowledge acquisition Computer Science Applications Robot Domain knowledge 020201 artificial intelligence & image processing User interface business computer Software Information Systems |
| Zdroj: | 2017 IEEE 11th International Conference on Semantic Computing (ICSC) ICSC |
| ISSN: | 1793-7108 1793-351X |
| DOI: | 10.1142/s1793351x18400093 |
| Popis: | Industrial robot systems being deployed today do not contain domain knowledge to aid robot operators in setup and operational use. To gather such knowledge in a robotic context requires mechanisms for entering and capturing semantic data. Such mechanisms would allow a system to gradually build a working vocabulary while interacting with the environment and operators, valuable for the bootstrapping system knowledge and ensuring the data collection over time. This paper presents a prototype user interface that assists the kinesthetic teaching mode of a collaborative industrial robot, allowing for the capture of semantic information while working with the robot in day-to-day use. Two modalities, graphical point-and-click and natural language, support capture of semantic context and the building of a working vocabulary of the environment while modifying or creating robot programs. A semantic capture experiment illustrates the approach. |
| Databáze: | OpenAIRE |
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