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A Line Geometric Approach to Kinematic Acquisition of Geometric Constraints of Planar Motion
Author(s) -
Jun Wu,
Xiangyun Li,
Q. J. Ge,
Feng Gao,
Xueyin Liu
Publication year - 2017
Publication title -
journal of mechanisms and robotics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.591
H-Index - 45
eISSN - 1942-4310
pISSN - 1942-4302
DOI - 10.1115/1.4036222
Subject(s) - kinematics , motion (physics) , point (geometry) , computer science , planar , geometric modeling , computer vision , parametric statistics , task (project management) , line (geometry) , artificial intelligence , parametric equation , linkage (software) , mathematics , geometry , engineering , classical mechanics , computer graphics (images) , physics , biochemistry , statistics , systems engineering , chemistry , gene
This paper examines the problem of geometric constraints acquisition of planar motion through a line-geometric approach. In previous work, we have investigated the problem of identifying point-geometric constraints associated with a motion task which is given in a parametric or discrete form. In this paper, we seek to extend the point-centric approach to the line-centric approach. The extracted geometric constraints can be used directly for determining the type and dimensions of a physical device such as mechanical linkage that generates this constrained motion task.

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