Teammate-pattern-aware autonomy based on organizational self-design principles
| Autor: | Abhishek Thakur, Eli Goldweber, Edmund H. Durfee |
|---|---|
| Rok vydání: | 2020 |
| Předmět: |
Unmanned ground vehicle
Computer science media_common.quotation_subject 05 social sciences Design elements and principles Context (language use) 02 engineering and technology Artificial Intelligence Human–computer interaction SAFER 0502 economics and business 0202 electrical engineering electronic engineering information engineering Robot 050206 economic theory 020201 artificial intelligence & image processing Autonomy media_common |
| Zdroj: | Autonomous Agents and Multi-Agent Systems. 34 |
| ISSN: | 1573-7454 1387-2532 |
| DOI: | 10.1007/s10458-020-09462-x |
| Popis: | We describe an approach for constraining robot autonomy based on the robot’s awareness of patterns of its human teammates’ behaviors, rather than either ignoring its teammates (which is fast but dangerous) or inferring their plans (which is safer but slow). We explore the promise, and limitations, of this approach in a series of simulated problems where an unmanned ground vehicle and its human teammates must rapidly respond to a sudden context shift. Our results help us discern conditions under which a pattern-aware approach can be more effective than the alternatives, and our current efforts investigate how the manned–unmanned team can adopt biases to more readily establish such conditions that are more favorable to the pattern-aware approach. |
| Databáze: | OpenAIRE |
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