Konferenzpaper | | Not reviewed

Mixed-Initiative in Human Augmented Mapping

Autor(en)
Peltason, Julia ; Siepmann, Frederic ; Spexard, Thorsten P. ; Wrede, Britta 0000-0003-1424-472X ; Hanheide, Marc ; Topp, Elin A.
Titel des Konferenzbandes
IEEE International Conference on Robotics and Automation
Name der Konferenz
IEEE International Conference on Robotics and Automation (ICRA '09)
DOI
10.1109/robot.2009.5152683
ISBN-13
9781424427895
URL
https://pub.uni-bielefeld.de/record/1997429

Weitere Details

Sprache
englisch
Darstellungsform
Text
Seitenbereich
2146 - 2153

In scenarios that require a close collaboration and knowledge transfer between inexperienced users and robots, the ‘learning by interacting’ paradigm goes hand in hand with appropriate representations and learning methods. In this paper we discuss a mixed initiative strategy for robotic learning by interacting with a user in a joint map acquisition process. We propose the integration of an environment representation approach into our interactive learning framework. The environment representation and mapping system supports both user driven and data driven strategies for the acquisition of spatial information, so that a mixed initiative strategy for the learning process is realised. We evaluate our system with test runs according to the scenario of a guided tour, extending the area of operation from structured laboratory environment to less predictable domestic settings.

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