Smooth Path Planning by Fusion of Artificial Potential Field Method and Collision Cone Approach

Yong Hwi Kim, Wan Sic Son, Jin Bae Park, Tae Sung Yoon

Research output: Contribution to journalConference article

6 Citations (Scopus)

Abstract

A variety of path planning methods have been developed for different purposes, such as minimum path length and minimum processing time and smoothness of the path. This paper presents a novel path planning method by fusion of artificial potential filed (APF) and collision cone approach. The proposed algorithm provides smooth path and avoids local minima problem of the existing APF. And the smoothness of the path produced from the proposed algorithm is estimated by calculating the accumulated force which occurs while a robot passes a whole path. The proposed smooth path planning also can be helpful for considering vehicle kinematics and the safety of vehicle passengers. The simulation results demonstrate the performance of the proposed method.

Original languageEnglish
Article number05004
JournalMATEC Web of Conferences
Volume75
DOIs
Publication statusPublished - 2016 Sep 1
Event1st International Conference on Measurement Instrumentation and Electronics, ICMIE 2016 - Munich, Germany
Duration: 2016 Jun 62016 Jun 8

Fingerprint

Motion planning
Cones
Fusion reactions
Kinematics
Robots
Processing

All Science Journal Classification (ASJC) codes

  • Chemistry(all)
  • Materials Science(all)
  • Engineering(all)

Cite this

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Smooth Path Planning by Fusion of Artificial Potential Field Method and Collision Cone Approach. / Kim, Yong Hwi; Son, Wan Sic; Park, Jin Bae; Yoon, Tae Sung.

In: MATEC Web of Conferences, Vol. 75, 05004, 01.09.2016.

Research output: Contribution to journalConference article

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