2023
DOI: 10.1109/tii.2022.3205952
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Global Localization Based on Tether and Visual-Inertial Odometry With Adsorption Constraints for Climbing Robots

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Cited by 5 publications
(3 citation statements)
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“…For instance, Huazhong University of Science and Technology developed a climbing machining robot for in-situ manufacturing of large and complex components. By designing flexible negative pressure adsorption chambers and the corresponding active compliant adsorption method, the robot adsorbs up to 1000 N with a self-weight of 10 kg and can adapt to variable curvature surfaces with a radius of curvature greater than 1.1 m. A global positioning method has also been proposed for precise localization in a wide range of large components [ 50 , 51 ]. Tsinghua University also developed a novel flexible climbing machining robot for processing large components.…”
Section: Definition Of Climbing Manufacturing Robotsmentioning
confidence: 99%
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“…For instance, Huazhong University of Science and Technology developed a climbing machining robot for in-situ manufacturing of large and complex components. By designing flexible negative pressure adsorption chambers and the corresponding active compliant adsorption method, the robot adsorbs up to 1000 N with a self-weight of 10 kg and can adapt to variable curvature surfaces with a radius of curvature greater than 1.1 m. A global positioning method has also been proposed for precise localization in a wide range of large components [ 50 , 51 ]. Tsinghua University also developed a novel flexible climbing machining robot for processing large components.…”
Section: Definition Of Climbing Manufacturing Robotsmentioning
confidence: 99%
“…(b) Localization based on onboard measurement, can be divided into localization using 2D optical measurement, localization based on 3D optical measurement and localization based on ubiquitous fiducials. Adapted with permission from Refs [ 51 , 108 , 113 , 119 ], respectively. (c) Multirobot Collaborative Localization, can be realized by employing different kinds of robots.…”
Section: Localization Technologies For Climbing Robotsmentioning
confidence: 99%
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