Lau, Manfred and Mitani, Jun and Igarashi, Takeo (2011) Automatic learning of pushing strategy for delivery of irregular-shaped objects. In: Robotics and Automation (ICRA), 2011 IEEE International Conference on. IEEE Xplore, pp. 3733-3738. ISBN 978-1-61284-386-5Full text not available from this repository.
Object delivery by pushing objects with mobile robots on a flat surface has been successfully demonstrated. However, existing methods can push objects that have a circular or rectangular shape. In this paper, we introduce a learning-based approach for pushing objects of any irregular shape to user-specified goal locations. We first automatically collect a set of data on how an irregular-shaped object moves given the robot's relative position and pushing direction. We collect this data with a randomized approach, and we demonstrate that this approach can successfully collect useful data. Object delivery is achieved by using the collected data with a nonparametric regression method. We demonstrate our approach with a number of irregular-shaped objects.
|Item Type:||Contribution in Book/Report/Proceedings|
|Uncontrolled Keywords:||Collision avoidance ; Humans ; Mobile robots ; Robot kinematics ; Shape ; Trajectory|
|Subjects:||Q Science > QA Mathematics > QA75 Electronic computers. Computer science|
|Departments:||Faculty of Science and Technology > School of Computing & Communications|
|Deposited On:||05 Apr 2012 15:58|
|Last Modified:||10 Dec 2016 02:45|
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