Skip to main navigation Skip to search Skip to main content

Optimal Time-Jerk Trajectory Generation for Robot Manipulators

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

7 Scopus citations

Abstract

This work presents a method to obtain minimum-Time smooth motion trajectories for robot manipulators. The strategy is to design the trajectory as a combination of cubic splines for position, velocity and acceleration using seven degree polynomials to ensure that the initial and final conditions are set to zero. The spline is obtained with an optimization based in L-BFGS-B (Limited-memory Broyden-Fletcher-Goldfarb-Shanno) with weighing between the accumulated time or jerk, which are part of the cost equation to let the user generate the trajectory according to the specific task. The proposed method is implemented in a Sawyer robot and, under the premise of precisely passing through the required knots, the spline motion is compared with functions from the manufacturer that directly provide tools for kinematic inversion to show the advantage of our approach.

Original languageEnglish
Title of host publication2018 IEEE 2nd Colombian Conference on Robotics and Automation, CCRA 2018
EditorsLorena Garcia, Pedro Wightman, Winston Percybrooks, Henry Carrillo, Carlos Quintero
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781538684641
DOIs
StatePublished - 24 Dec 2018
Event2nd IEEE Colombian Conference on Robotics and Automation, CCRA 2018 - Barranquilla, Colombia
Duration: 1 Nov 20183 Nov 2018

Publication series

Name2018 IEEE 2nd Colombian Conference on Robotics and Automation, CCRA 2018

Conference

Conference2nd IEEE Colombian Conference on Robotics and Automation, CCRA 2018
Country/TerritoryColombia
CityBarranquilla
Period1/11/183/11/18

Fingerprint

Dive into the research topics of 'Optimal Time-Jerk Trajectory Generation for Robot Manipulators'. Together they form a unique fingerprint.

Cite this