کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
411936 679597 2012 9 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
High-payload climbing and transitioning by compliant locomotion with magnetic adhesion
موضوعات مرتبط
مهندسی و علوم پایه مهندسی کامپیوتر هوش مصنوعی
پیش نمایش صفحه اول مقاله
High-payload climbing and transitioning by compliant locomotion with magnetic adhesion
چکیده انگلیسی

This paper presents a new climbing robotic mechanism for high-payload climbing and wall-to-wall transitioning. Payload capacity and transition ability are very important in climbing-robot applications for heavy industries and construction industries. The proposed robotic platform consists of three magnetic tread-wheel modules that are connected by links with two compliant joints. The front compliant joints are passive type with a torsion spring, and the rear compliant joints are active type with torque-controlled motors. A torque-controlled tail is attached at the end of the third module. Various transitions are achieved by the compliant joints, which change shape depending on the external conditions. High payloads are achieved by the large contact area of three magnetic tread-wheel modules. Detailed design issues are presented with analyses of the design parameters. The robot can perform two internal and two external transitions against gravity and every possible transition in the side surface driving direction. The robot can carry 10 kg payloads on vertical surfaces and on a ceiling. The ability to overcome a 30 mm diameter obstacle on vertical surfaces is also verified by experiments. The proposed robotic platform is going to be used in heavy industries.


► A novel climbing robot is suggested for various transitions and high payloads.
► The robot can perform various transitions by compliant locomotion.
► The robot is composed of three tread-wheel modules with magnetic treads.
► The robot can climb any angles of slope and can carry more than 10 kg.
► An active tail is attached at the end to compensate the pitch-back moment.

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Robotics and Autonomous Systems - Volume 60, Issue 10, October 2012, Pages 1308–1316
نویسندگان
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