DocumentCode :
653009
Title :
Automatic elliptical trajectory planning algorithm for pick and place operation
Author :
Wenguang Li ; Yongfei Xiao ; Shuhui Bi ; Guangyue Du
Author_Institution :
Shandong Provincial Key Lab. of Robot & Manuf. Autom. Technol., Inst. of Autom., Jinan, China
fYear :
2013
fDate :
25-27 Sept. 2013
Firstpage :
36
Lastpage :
39
Abstract :
As the speed of industrial pick and place robots continues to increase, new trajectory planning algorithm will need to be developed in order to optimize the kinematic characteristics of high speed application. One elliptical trajectory is introduced in this paper, in order to optimize the performance of the pick and place operation. When facing any two points among the workspace of the robot, one elliptical trajectory with specific safe height is automatically generated. Besides, one modified sine wave motion profile is introduced into this trajectory. After mapping this Cartesian position into the joint space, one cubic interpolation algorithm is adopted. Lastly, the cycle performance exhibits the continuous of motion curves by the simulation results, the maximum speed of the palletizing task is also increased by the proposed algorithm. In addition, the results of the simulation show the effectiveness and the applicable of the method for the industrial applications.
Keywords :
industrial robots; interpolation; path planning; robot kinematics; Cartesian position; automatic elliptical trajectory planning algorithm; cubic interpolation algorithm; high speed application; industrial pick and place robots; kinematic characteristics; modified sinewave motion profile; motion curves; Automation; Kinematics; Robots; Silicon; Trajectory; elliptical; kinematic; pick and place; sine wave profile; trajectory planning;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Advanced Mechatronic Systems (ICAMechS), 2013 International Conference on
Conference_Location :
Luoyang
Print_ISBN :
978-1-4799-2518-6
Type :
conf
DOI :
10.1109/ICAMechS.2013.6681746
Filename :
6681746
Link To Document :
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