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.
Accelerating Research
Robert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom
Address
John Eccles HouseRobert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom