DocumentCode
1838457
Title
Singularity-free path planning of dual-arm space robot for keeping the base inertially stabilized during target capturing
Author
Wenfu Xu ; Houde Liu ; Yu She ; Bin Liang
Author_Institution
Shenzhen Grad. Sch., Harbin Inst. of Technol., Shenzhen, China
fYear
2012
fDate
11-14 Dec. 2012
Firstpage
1536
Lastpage
1541
Abstract
Compared with a single-arm space robot, a dual-arm or multi-arm system has much more dexterity and flexibility, and can complete more complex tasks. In this paper, oordinated path planning methods are proposed for a dual-arm space robotic system to capture a target and stabilize the base at the same time. Two typical applications are considered - keeping the centroid of the base fixed (approximately; the same below), and keeping the pose (attitude and the centroid position) of the base fixed synchronously. Firstly, the concept “Base Centroid Virtual Manipulator” is presented, and its kinematic model is directed. Based on the resolution of the position-level kinematic equation, the motion of the balance arm for stabilize the base´s centroid is planned. Furthermore, combining with the control of reaction flywheel, whose angular speed is determined according to the angular momentum conservation law, the base´s attitude and centroid can be kept fixed at the same time. The proposed methods overcome the singularity problem, which is un-avoidable for those based on differential kinematics.
Keywords
angular velocity control; attitude control; flywheels; manipulator kinematics; mechanical stability; motion control; path planning; position control; angular momentum conservation law; angular speed; attitude; balance arm motion; base centroid virtual manipulator; centroid position; coordinated path planning method; differential kinematics; dual-arm space robot; inertial stability; manipulator kinematic model; multiarm robot system; position-level kinematic equation; reaction flywheel control; robot dexterity; robot flexibility; single-arm space robot; singularity problem; singularity-free path planning; target capturing;
fLanguage
English
Publisher
ieee
Conference_Titel
Robotics and Biomimetics (ROBIO), 2012 IEEE International Conference on
Conference_Location
Guangzhou
Print_ISBN
978-1-4673-2125-9
Type
conf
DOI
10.1109/ROBIO.2012.6491186
Filename
6491186
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