This paper presents a new method for the planning of robot trajectories. The method presented assumes that joint-space knots have been generated from Cartesian knots by an inverse kinematics algorithm. The method is based on the globally optimal periodic interpolation scheme derived by Schoenberg, and thus is particularly suited for periodic robot motions. Of all possible periodic joint trajectories which pass through a specified set of knots, the trajectory derived in this paper is the ‘best’. The performance criterion used is the integral (over one period) of a combination of the square of the joint velocity and the square of the joint jerk.
Globally Optimal Periodic Robot Joint TrajectoriesJournal of the Franklin Institute
Publisher's StatementNOTICE: this is the author’s version of a work that was accepted for publication in Journal of the Franklin Institute. Changes resulting from the publishing process, such as peer review, editing, corrections, structural formatting, and other quality control mechanisms may not be reflected in this document. Changes may have been made to this work since it was submitted for publication. A definitive version was subsequently published in Journal of the Franklin Institute, 333, 5, (09-01-1996); dx.doi.org/10.1016/0016-0032(96)00044-0
Citation InformationD. Simon. (1996). Globally Optimal Periodic Robot Joint Trajectories. Journal of the Franklin Institute, 333(5), pp. 659-668, doi: dx.doi.org/10.1016/0016-0032(96)00044-0.