Mixed-initiative in human augmented mapping

Peltason, Julia and Siepmann, F. H. K. and Spexard, T. P. and Wrede, Britta and Hanheide, Marc and Topp, E. A. (2009) Mixed-initiative in human augmented mapping. In: IEEE International Conference on Robotics and Automation., May 12-17, 2009, Kobe International Conference Center.

Full content URL: http://dx.doi.org/10.1109/ROBOT.2009.5152683

Documents
Peltason2009-Mixed-initiative_in_human_augmented_mapping[1].pdf

Request a copy
[img] PDF
Peltason2009-Mixed-initiative_in_human_augmented_mapping[1].pdf - Whole Document
Restricted to Repository staff only

1MB

Abstract

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

Item Type:Conference or Workshop contribution (Paper)
Additional Information: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
Keywords:Robotics, Human-robot interaction
Subjects:H Engineering > H670 Robotics and Cybernetics
Divisions:College of Science > School of Computer Science
ID Code:6924
Deposited By: Marc Hanheide
Deposited On:07 Jan 2013 09:06
Last Modified:13 Mar 2013 09:19

Repository Staff Only: item control page