Title :
Online approximate Cartesian path trajectory planning for robotic manipulators
Author :
Yeong-Hwa Chang ; Tsu-Tian Lee ; Chang-Huan Liu
Author_Institution :
Dept. of Electr. Eng., Chung-Cheng Inst. of Technol., Tao-Yung
Abstract :
To achieve online Cartesian space trajectory planning, the authors present methods for approximating Cartesian paths by recursive joint trajectories. Systematic procedures are proposed for approximating an arbitrary smooth Cartesian path by concatenated line segments and for selecting intermediate knot points along the line segments. Two recursive joint trajectory planning algorithms are derived using quartic spline interpolation. The proposed approach is illustrated by a numerical example
Keywords :
interpolation; planning (artificial intelligence); robots; splines (mathematics); approximate Cartesian path trajectory planning; concatenated line segments; intermediate knot points; knot point selection; online Cartesian space trajectory planning; quartic spline interpolation; recursive joint trajectories; recursive joint trajectory planning algorithms; robotic manipulators; Computational complexity; Concatenated codes; Interpolation; Manipulators; Motion planning; Orbital robotics; Path planning; Robot kinematics; Spline; Trajectory;
Journal_Title :
Systems, Man and Cybernetics, IEEE Transactions on