Efficient path planning for multiple transportation robots under various loading conditions

Jungyun Bae, Woojin Chung

Research output: Contribution to journalArticlepeer-review

7 Citations (Scopus)

Abstract

The article proposes a new path planning method for a multi-robot system for transportation with various loading conditions. For a given system, one needs to distribute given pickup and delivery jobs to the robots and find a path for each robot while minimizing the sum of travel costs. The system has multiple robots with different payloads. Each job has a different required minimum payload, and as a result, job distribution in this situation must take into account the difference in payload capacities of robots. By reflecting job handling restrictions and job accomplishment costs in travel costs, the problem is formulated as a multiple heterogeneous asymmetric Hamiltonian path problem and a primal-dual based heuristic is developed to solve the problem. The heuristic produces a feasible solution in relatively short amount of time and verified by the implementation results.

Original languageEnglish
JournalInternational Journal of Advanced Robotic Systems
Volume16
Issue number2
DOIs
Publication statusPublished - 2019 Mar 1

Bibliographical note

Funding Information:
The author(s) disclosed receipt of following financial support for the research, authorship, and/or publication of this article: This research was supported by the NRF, MSIP (Grant No. NRF-2017R1A2A1 A17069329) and by the Agriculture, Food and Rural Affairs Research Center Support Program (Grant No. 714002-07), MAFRA, Korea.

Funding Information:
This research was supported by the NRF, MSIP (Grant No. NRF-2017R1A2A1 A17069329) and by the Agriculture, Food and Rural Affairs Research Center Support Program (Grant No. 714002-07), MAFRA, Korea.

Publisher Copyright:
© The Author(s) 2019.

Keywords

  • Multi-robot path planning
  • functional heterogeneity
  • pickup and delivery job assignment
  • transportation robot system

ASJC Scopus subject areas

  • Software
  • Computer Science Applications
  • Artificial Intelligence

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