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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Cheng-Hsuan Tsai Po-Hsuan Huang Wei-Chung Chou Chia-Hung Shih Chen-Yuan Chen Bih-Yaw Shih Chin-Jui Chang Cheng-Wu Chen Tsung-Hao Chen Wan-I Lee Pei-Yin Chung |
| Copyright Year | 2010 |
| Description | Author affiliation: Department of Computer Science, National Pingtung University of Education, No. 4-18, Ming Shen Rd., 90003, Taiwan (Cheng-Hsuan Tsai; Po-Hsuan Huang; Wei-Chung Chou; Chia-Hung Shih; Chen-Yuan Chen; Bih-Yaw Shih) || Department of Information Management, Meiho University, 23, Pingguang Rd., Neipu, Pingtung, Taiwan (Pei-Yin Chung) || Institute of Maritime Information and Technology, National Kaohsiung Marine University, No.142, Haijhuan Rd., Nanzih District, 81143, Taiwan (Cheng-Wu Chen) || Departments of Business Administration, Shu-Te University, Yen Chau, Kaohsiung 82445, Taiwan (Tsung-Hao Chen) || Department of Information Management, Transworld University, No. 1221, Jen-Nang Road, Chia-Tong Li, Douliou, Yunlin 64063, Taiwan (Chin-Jui Chang) || Marketing and Distribution Management, National Kaohsiung First University of Science and Technology, 2 Jhuoyue Rd. Nanzih, 811, Taiwan (Wan-I Lee) |
| Abstract | In this paper, a simple path correction and obstacle avoidance method with a bipedal robot for the learning stratification and performance, using an ultrasonic sensor and electronic compass sensor, is proposed. This bipedal robot was comprised using the Lego NXT Intelligent Bricks. The proposed method is implemented on an autonomous humanoid robot (the ARSR). One ultrasonic sensor and one electronic compass sensor are installed on the ARSR to detect environmental information including obstacles, the distance to the obstacle, and the directional angle of the robot. Based on the obtained information, an obstacle avoidance and path correct method is proposed to decide the ARSR's behavior so that it can avoid obstacles and move effectively to the destination area. Obstacle avoidance experiments are carried out to confirm the effectiveness of the proposed method and confirm the learning stratification and performance. |
| Starting Page | 532 |
| Ending Page | 536 |
| File Size | 1146600 |
| Page Count | 5 |
| File Format | |
| ISBN | 9781424485017 |
| ISSN | 2157362X |
| e-ISBN | 9781424485031 |
| e-ISBN | 9781424485024 |
| DOI | 10.1109/IEEM.2010.5674501 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2010-12-07 |
| Publisher Place | China |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | autonomous mobile robot obstacle avoidance Acoustics Mobile robots bipedal robot Compass ultrasonic sensor intelligence Service robots path correction electronic compass sensor Robot sensing systems Servomotors |
| Content Type | Text |
| Resource Type | Article |
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