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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Da Guan Lei Yan Yibo Yang Wenfu Xu |
| Copyright Year | 2014 |
| Description | Author affiliation: Shenzhen Grad. Sch., Harbin Inst. of Technol., Shenzhen, China (Da Guan; Lei Yan; Yibo Yang; Wenfu Xu) |
| Abstract | Since Fukushima nuclear accident, the international society are paying more and more attention on the safety of nuclear power. The healthy monitoring is the most important means for earth warning. In this paper, we developed a wall-climbing robotic system for intelligent monitoring in nuclear power plants. It was made up of mechanical, control, and inspection subsystems. The robot was designed as a bipedal robot with five degrees of freedom. Supported by two suction feet, it could travel on flat and inclined surfaces, or move across different surfaces. It was actuated by an embedded controller, which was developed based on an ARM microprocessor and μc/os-ii operating systems. The controller also received and processed the telemanipulation commands from the operator. To supply complete information about the environment and key devices, the robot was equipped with optimal cameras, radiometers, barometer and thermometer. These sensors and their electrical parts constituted the inspection subsystem. At last, the robotic prototype was manufactured and experimented. Experiment results verified its flexibility and reliability. |
| Starting Page | 484 |
| Ending Page | 487 |
| File Size | 418243 |
| Page Count | 4 |
| File Format | |
| e-ISBN | 9781479948086 |
| DOI | 10.1109/ICIST.2014.6920522 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2014-04-26 |
| Publisher Place | China |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Legged locomotion Climbing robot Nuclear energy industry Nuclear robot Inspection Pneumatic systems Robot sensing systems Intelligent inspection |
| Content Type | Text |
| Resource Type | Article |
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