Path Planning for Excavator Arm: Fuzzy Logic Control Approach

Joint Authors

Vu, Nga Thi-Thuy
Tran, Nam Phuong

Source

Journal of Robotics

Issue

Vol. 2020, Issue 2020 (31 Dec. 2020), pp.1-10, 10 p.

Publisher

Hindawi Publishing Corporation

Publication Date

2020-11-21

Country of Publication

Egypt

No. of Pages

10

Main Subjects

Mechanical Engineering

Abstract EN

This paper proposes an algorithm to design the path for automated excavator arm.

The path designing is divided into two phases.

Firstly, the fuzzy logic technique is used to determine the change of the path to adapt with the variation of the material after each digging period.

Secondly, the B-spline algorithm is used to build the optimal trajectory.

By this, the excavator can maximize the dug weight although the shape of the material is variation.

The effectiveness of the algorithm is verified through computer simulation and real-time experiment.

The simulation and experimental results show that the generated optimal path keeps the dug weight around the expected value regardless of the change of the environment.

American Psychological Association (APA)

Vu, Nga Thi-Thuy& Tran, Nam Phuong. 2020. Path Planning for Excavator Arm: Fuzzy Logic Control Approach. Journal of Robotics،Vol. 2020, no. 2020, pp.1-10.
https://search.emarefa.net/detail/BIM-1190275

Modern Language Association (MLA)

Vu, Nga Thi-Thuy& Tran, Nam Phuong. Path Planning for Excavator Arm: Fuzzy Logic Control Approach. Journal of Robotics No. 2020 (2020), pp.1-10.
https://search.emarefa.net/detail/BIM-1190275

American Medical Association (AMA)

Vu, Nga Thi-Thuy& Tran, Nam Phuong. Path Planning for Excavator Arm: Fuzzy Logic Control Approach. Journal of Robotics. 2020. Vol. 2020, no. 2020, pp.1-10.
https://search.emarefa.net/detail/BIM-1190275

Data Type

Journal Articles

Language

English

Notes

Includes bibliographical references

Record ID

BIM-1190275