The Proceedings of JSME annual Conference on Robotics and Mechatronics (Robomec)
Online ISSN : 2424-3124
2012
Session ID : 1A1-B07
Conference information
1A1-B07 POMDP based Motion Planning for Searching Unknown Objects(3D Measurement/Sensor Fusion(1))
Kazunori OHNOSatoshi TADOKORO
Author information
CONFERENCE PROCEEDINGS FREE ACCESS

Details
Abstract
The authors aim at finding and modeling unknown objects in human life environment using robot technologies. In this paper, the authors proposed a method of unknown object segmentation using manipulation. Partial Observation Markov Decision Process (POMDP) is used for the planning. POMDP requires states for the estimation of the unknown objects. However, it is hard to define the states of the unknown objects. Therefore, the authors used primitive shape (e.g., quadrangular prism, ball) as the states. Use of primitive shape allows the estimation of unknown objects by using POMDP. We show a simulation result of the unknown object finding.
Content from these authors
© 2012 The Japan Society of Mechanical Engineers
Previous article Next article
feedback
Top