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Please use this identifier to cite or link to this item: http://scholars.ntou.edu.tw/handle/123456789/22871
Title: Real-time Obstacle Avoidance using Supervised Recurrent Neural Network with Automatic Data Collection and Labeling
Authors: Shao-Hung Chan
Xiaoyue Xu
Ping-Tsang Wu
Ming-Li Chiang 
Li-Chen Fu
Keywords: Collision avoidance;Training;Robot sensing systems;Robot kinematics;Path planning;Labeling
Issue Date: Oct-2019
Publisher: IEEE
Source: 2019 IEEE International Conference on Systems, Man and Cybernetics (SMC)
Conference: 2019 IEEE International Conference on Systems, Man and Cybernetics (SMC)
Abstract: 
The following topics are dealt with: learning (artificial intelligence); medical signal processing; neurophysiology; electroencephalography; mobile robots; feature extraction; brain-computer interfaces; neural nets; convolutional neural nets; production engineering computing.
Description: 
06-09 October 2019
Bari, Italy
URI: http://scholars.ntou.edu.tw/handle/123456789/22871
DOI: 10.1109/SMC.2019.8914281
Appears in Collections:電機工程學系

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