A Method of Energy-Optimal Trajectory Planning for Palletizing Robot

Joint Authors

Liang, Le
Liu, Yanjie
Han, Haijun
Zhang, Shijie

Source

Mathematical Problems in Engineering

Issue

Vol. 2017, Issue 2017 (31 Dec. 2017), pp.1-10, 10 p.

Publisher

Hindawi Publishing Corporation

Publication Date

2017-02-23

Country of Publication

Egypt

No. of Pages

10

Main Subjects

Civil Engineering

Abstract EN

In this work, the energy-optimal trajectory planning and initial pick point searching problem for palletizing robot with high load capacity and high speed are studied, in which the pick point and place point of the robot are fixed to a desired location for each single task.

These optimization problems have been transformed to ternary functional extremum problem and parameters optimal selection problem in which the performance index of the problems the rigid-flexible coupling dynamics model of the robot, and the constraint and boundary conditions of the robot are given.

The fourth-order Runge-Kutta method, multiple shooting method, and traversing method are used to solve these specific mathematical problems.

The effectiveness of the trajectory planning method is validated by the experimental and simulating results; thus the research work done here provides important support for subsequent palletizing robot research.

American Psychological Association (APA)

Liu, Yanjie& Liang, Le& Han, Haijun& Zhang, Shijie. 2017. A Method of Energy-Optimal Trajectory Planning for Palletizing Robot. Mathematical Problems in Engineering،Vol. 2017, no. 2017, pp.1-10.
https://search.emarefa.net/detail/BIM-1190820

Modern Language Association (MLA)

Liu, Yanjie…[et al.]. A Method of Energy-Optimal Trajectory Planning for Palletizing Robot. Mathematical Problems in Engineering No. 2017 (2017), pp.1-10.
https://search.emarefa.net/detail/BIM-1190820

American Medical Association (AMA)

Liu, Yanjie& Liang, Le& Han, Haijun& Zhang, Shijie. A Method of Energy-Optimal Trajectory Planning for Palletizing Robot. Mathematical Problems in Engineering. 2017. Vol. 2017, no. 2017, pp.1-10.
https://search.emarefa.net/detail/BIM-1190820

Data Type

Journal Articles

Language

English

Notes

Includes bibliographical references

Record ID

BIM-1190820