Abstract | ||
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Although much work has been done on designing autonomy and user interfaces for managing small teams of independent robots, much less is known about managing large-scale bio-inspired robot (BIRT) teams. In this paper, we explore human interaction with BIRT teams in an information foraging task. We summarize results from two small experiments that use two types of BIRT teams in a foraging task. The results illustrate differences in BIRT performance for different types of human interaction, and illustrate how performance robustness can vary as a function of interaction type. |
Year | DOI | Venue |
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2011 | 10.5555/2034396.2034518 | AAMAS |
Keywords | Field | DocType |
small team,foraging task,birt team,small experiment,performance robustness,interaction type,bio-inspired team,independent robot,different type,birt performance,human interaction | Information foraging,Computer science,Autonomy,Knowledge management,Human interaction,Robustness (computer science),Human–computer interaction,Artificial intelligence,Robot,User interface,Machine learning,Foraging | Conference |
ISBN | Citations | PageRank |
0-9826571-7-X | 0 | 0.34 |
References | Authors | |
2 | 5 |
Name | Order | Citations | PageRank |
---|---|---|---|
Michael A. Goodrich | 1 | 1738 | 171.30 |
Brian Pendleton | 2 | 9 | 0.87 |
P. B. Sujit | 3 | 190 | 17.84 |
José Pinto | 4 | 23 | 6.89 |
Jacob W. Crandall | 5 | 177 | 18.68 |