DocumentCode :
2385886
Title :
Mixed-initiative in human augmented mapping
Author :
Peltason, Julia ; Siepmann, Frederic H K ; Spexard, Thorsten P. ; Wrede, Britta ; Hanheide, Marc ; Topp, Elin A.
Author_Institution :
Appl. Inf. Group, Bielefeld Univ., Bielefeld, Germany
fYear :
2009
fDate :
12-17 May 2009
Firstpage :
2146
Lastpage :
2153
Abstract :
In scenarios that require a close collaboration and knowledge transfer between inexperienced users and robots, the ldquolearning by interactingrdquo 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.
Keywords :
interactive systems; learning by example; robots; human augmented mapping; interactive learning framework; joint map acquisition process; learning by interacting paradigm; learning methods; robotic learning; Cognitive robotics; Collaboration; Computer science; Humans; Informatics; Knowledge transfer; Learning systems; Orbital robotics; Robotics and automation; Robots;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Robotics and Automation, 2009. ICRA '09. IEEE International Conference on
Conference_Location :
Kobe
ISSN :
1050-4729
Print_ISBN :
978-1-4244-2788-8
Electronic_ISBN :
1050-4729
Type :
conf
DOI :
10.1109/ROBOT.2009.5152683
Filename :
5152683
Link To Document :
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