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Content Provider | IEEE Xplore Digital Library |
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Author | Noda, K. Arie, H. Suga, Y. Ogata, T. |
Copyright Year | 2013 |
Description | Author affiliation: Grad. Sch. of Fundamental Sci. & Eng., Waseda Univ., Tokyo, Japan (Noda, K.; Arie, H.; Suga, Y.; Ogata, T.) |
Abstract | This paper presents a novel computational approach for modeling and generating multiple object manipulation behaviors by a humanoid robot. The contribution of this paper is that deep learning methods are applied not only for multimodal sensor fusion but also for sensory-motor coordination. More specifically, a time-delay deep neural network is applied for modeling multiple behavior patterns represented with multi-dimensional visuomotor temporal sequences. By using the efficient training performance of Hessian-free optimization, the proposed mechanism successfully models six different object manipulation behaviors in a single network. The generalization capability of the learning mechanism enables the acquired model to perform the functions of cross-modal memory retrieval and temporal sequence prediction. The experimental results show that the motion patterns for object manipulation behaviors are successfully generated from the corresponding image sequence, and vice versa. Moreover, the temporal sequence prediction enables the robot to interactively switch multiple behaviors in accordance with changes in the displayed objects. |
Sponsorship | IEEE Ind. Electron. Soc. |
Starting Page | 1728 |
Ending Page | 1733 |
File Size | 1857616 |
Page Count | 6 |
File Format | |
ISSN | 21530858 |
DOI | 10.1109/IROS.2013.6696582 |
Language | English |
Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
Publisher Date | 2013-11-03 |
Publisher Place | Japan |
Access Restriction | Subscribed |
Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
Subject Keyword | Vectors Joints Robot sensing systems Image reconstruction Neural networks Image sequences |
Content Type | Text |
Resource Type | Article |
Subject | Control and Systems Engineering Computer Science Applications Computer Vision and Pattern Recognition Software |
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