Autonomous Behavior Based Navigation between Aerial and Ground Mobile Robot

碩士 === 國立臺灣科技大學 === 自動化及控制研究所 === 102 === Disaster search and rescue, environment monitoring, and security surveillance are the fields that had strong boost in utilization of Unmanned Aerial Vehicle (UAV) in recent years. The flat wing platform cannot provide hovering ability because of mechanical s...

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Main Authors: Hung The Nguyen, 阮世雄
Other Authors: Min-Fan Lee
Format: Others
Language:en_US
Published: 2014
Online Access:http://ndltd.ncl.edu.tw/handle/26953293474477436975
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spelling ndltd-TW-102NTUS51460032016-03-09T04:30:57Z http://ndltd.ncl.edu.tw/handle/26953293474477436975 Autonomous Behavior Based Navigation between Aerial and Ground Mobile Robot 基於自主行為之導航應用於空中和地面移動機器人 Hung The Nguyen 阮世雄 碩士 國立臺灣科技大學 自動化及控制研究所 102 Disaster search and rescue, environment monitoring, and security surveillance are the fields that had strong boost in utilization of Unmanned Aerial Vehicle (UAV) in recent years. The flat wing platform cannot provide hovering ability because of mechanical structure and be restricted by visual resolution at high altitude. The ground mobile robots can use local sensors like sonar or laser range finder to navigate but need to identify the target beforehand. This thesis proposed joint operation architecture between AMR (Aerial Mobile Robot) and GMR (Ground Mobile Robot) to achieve a full autonomous search and rescue operation. First, AMR will search for the target by visual technique. After that, AMR will track GMR and provide visual sensing of the ground facts. This will combined with information from local sensors on GMR as inputs for behavior based controller, to navigate GMR to target in real time. Experimental results confirm that system can locate and approach the target a trough a collision free path with reliable performance. The hovering controller of altitude as well as position achieved accuracy of 8.35 cm in xy plane and 16.79 cm in z axis. The behavior based fuzzy controller will navigate the robot to the destination with obstacle avoidance and its average error was 51.15 mm in x axis and 63.11mm in y axis. The proposed autonomous joint cooperation between UAV and AMR contribute to improve the limitation on the disaster response robotic used in Fukushima nuclear power plant disaster. They only have independent operation (ground and aerial), no collaboration and in tele-operated mode. In comparison to the conventional SLAM only on ground mobile robot, our proposed aerial and ground architecture highly improved the efficiency and effectiveness. Both UAV and GMR have on-board micro-spectrometer and spectra analysis system for monitoring of water resource and oil spill in the ocean. Min-Fan Lee 李敏凡 2014 學位論文 ; thesis 121 en_US
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description 碩士 === 國立臺灣科技大學 === 自動化及控制研究所 === 102 === Disaster search and rescue, environment monitoring, and security surveillance are the fields that had strong boost in utilization of Unmanned Aerial Vehicle (UAV) in recent years. The flat wing platform cannot provide hovering ability because of mechanical structure and be restricted by visual resolution at high altitude. The ground mobile robots can use local sensors like sonar or laser range finder to navigate but need to identify the target beforehand. This thesis proposed joint operation architecture between AMR (Aerial Mobile Robot) and GMR (Ground Mobile Robot) to achieve a full autonomous search and rescue operation. First, AMR will search for the target by visual technique. After that, AMR will track GMR and provide visual sensing of the ground facts. This will combined with information from local sensors on GMR as inputs for behavior based controller, to navigate GMR to target in real time. Experimental results confirm that system can locate and approach the target a trough a collision free path with reliable performance. The hovering controller of altitude as well as position achieved accuracy of 8.35 cm in xy plane and 16.79 cm in z axis. The behavior based fuzzy controller will navigate the robot to the destination with obstacle avoidance and its average error was 51.15 mm in x axis and 63.11mm in y axis. The proposed autonomous joint cooperation between UAV and AMR contribute to improve the limitation on the disaster response robotic used in Fukushima nuclear power plant disaster. They only have independent operation (ground and aerial), no collaboration and in tele-operated mode. In comparison to the conventional SLAM only on ground mobile robot, our proposed aerial and ground architecture highly improved the efficiency and effectiveness. Both UAV and GMR have on-board micro-spectrometer and spectra analysis system for monitoring of water resource and oil spill in the ocean.
author2 Min-Fan Lee
author_facet Min-Fan Lee
Hung The Nguyen
阮世雄
author Hung The Nguyen
阮世雄
spellingShingle Hung The Nguyen
阮世雄
Autonomous Behavior Based Navigation between Aerial and Ground Mobile Robot
author_sort Hung The Nguyen
title Autonomous Behavior Based Navigation between Aerial and Ground Mobile Robot
title_short Autonomous Behavior Based Navigation between Aerial and Ground Mobile Robot
title_full Autonomous Behavior Based Navigation between Aerial and Ground Mobile Robot
title_fullStr Autonomous Behavior Based Navigation between Aerial and Ground Mobile Robot
title_full_unstemmed Autonomous Behavior Based Navigation between Aerial and Ground Mobile Robot
title_sort autonomous behavior based navigation between aerial and ground mobile robot
publishDate 2014
url http://ndltd.ncl.edu.tw/handle/26953293474477436975
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