Abstract | ||
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Robots, in order to properly interact with people and effectively perform the requested tasks, should have a deep and specific knowledge of the environment they live in. Current capabilities of robotic platforms in understanding the surrounding environment and the assigned tasks are limited, despite the recent progress in robotic perception. Moreover, novel improvements in human–robot interaction support the view that robots should be regarded as intelligent agents that can request the help of the user to improve their knowledge and performance. |
Year | DOI | Venue |
---|---|---|
2016 | 10.1016/j.robot.2015.11.001 | Robotics and Autonomous Systems |
Keywords | DocType | Volume |
Semantic mapping,Knowledge representation,Human–robot interaction | Journal | 78 |
Issue | ISSN | Citations |
C | 0921-8890 | 1 |
PageRank | References | Authors |
0.35 | 13 | 6 |
Name | Order | Citations | PageRank |
---|---|---|---|
Guglielmo Gemignani | 1 | 41 | 5.73 |
Roberto Capobianco | 2 | 40 | 9.78 |
Emanuele Bastianelli | 3 | 88 | 13.75 |
Domenico Daniele Bloisi | 4 | 132 | 15.05 |
Luca Iocchi | 5 | 1110 | 111.38 |
Daniele Nardi | 6 | 5968 | 545.67 |