workspace optimization
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2022 ◽  
Vol 167 ◽  
pp. 104484
Author(s):  
Jie Zhao ◽  
Cuncun Wu ◽  
Guilin Yang ◽  
Chin-Yin Chen ◽  
Silu Chen ◽  
...  

Author(s):  
Nathan A. Jensen ◽  
Carl A. Nelson

Abstract Underactuated parallel manipulators that achieve 6 DOF via multiple controllable degrees of freedom per leg are often pursued and reported due to their large workspaces. This benefit comes at a cost to the manipulator’s performance, however. Such manipulators must then be evaluated in order to characterize their kinematics in terms of position and motion. This paper establishes a pair of inverse kinematic solutions for a previously proposed and prototyped 3-leg, 6-DOF parallel robot. These solutions are then used to define the robot’s workspace with experimental validation and to optimize the robot’s geometry for maximum workspace volume. The linear components of the Jacobian are then defined, allowing for analysis of the manipulability of the robot. The full Jacobian is also defined, and singularities are examined throughout the workspace of the robot.


2019 ◽  
Vol 25 (5) ◽  
pp. 1836-1845 ◽  
Author(s):  
Wei Liang ◽  
Jingjing Liu ◽  
Yining Lang ◽  
Bing Ning ◽  
Lap-Fai Yu

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