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Sensors for Mobile Robot

A special issue of Sensors (ISSN 1424-8220). This special issue belongs to the section "Physical Sensors".

Deadline for manuscript submissions: closed (20 December 2022) | Viewed by 2463

Special Issue Editor


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Guest Editor
Department of SW Convergence Technology, Wonkwang University, Iksan 54538, Korea
Interests: robotics; ontology; robot Vision

Special Issue Information

Dear Colleagues,

The aim of this Special Issue is to highlight the most recent research regarding Sensors for Mobile Robot. This Special Issue focuses on the development and challenge of Sensors for Mobile Robot. The broader aim is to collect high-quality papers from researchers around the world working in this area. Research articles and reviews are solicited that provide a comprehensive insight into the sensing technologies for Mobile Robot on any aspect of novel sensor development and applications. Topics of interest include but are not limited to the following:

  • Mobile robot navigation
  • Self-localization
  • Path planning
  • Vision-based navigation
  • Indoor navigation
  • Robot localization
  • Computer vision for mobile robot
  • Active vision
  • The robot system
  • Autonomous navigation

Dr. Gi Hyun Lim
Guest Editor

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Published Papers (1 paper)

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Research

12 pages, 2260 KiB  
Article
An Algorithm for Task Allocation and Planning for a Heterogeneous Multi-Robot System to Minimize the Last Task Completion Time
by Abhishek Patil, Jungyun Bae and Myoungkuk Park
Sensors 2022, 22(15), 5637; https://doi.org/10.3390/s22155637 - 28 Jul 2022
Cited by 6 | Viewed by 2004
Abstract
This paper proposes an algorithm that provides operational strategies for multiple heterogeneous mobile robot systems utilized in many real-world applications, such as deliveries, surveillance, search and rescue, monitoring, and transportation. Specifically, the authors focus on developing an algorithm that solves a min–max multiple [...] Read more.
This paper proposes an algorithm that provides operational strategies for multiple heterogeneous mobile robot systems utilized in many real-world applications, such as deliveries, surveillance, search and rescue, monitoring, and transportation. Specifically, the authors focus on developing an algorithm that solves a min–max multiple depot heterogeneous asymmetric traveling salesperson problem (MDHATSP). The algorithm is designed based on a primal–dual technique to operate given multiple heterogeneous robots located at distinctive depots by finding a tour for each robot such that all the given targets are visited by at least one robot while minimizing the last task completion time. Building on existing work, the newly developed algorithm can solve more generalized problems, including asymmetric cost problems with a min–max objective. Though producing optimal solutions requires high computational loads, the authors aim to find reasonable sub-optimal solutions within a short computation time. The algorithm was repeatedly tested in a simulation with varying problem sizes to verify its effectiveness. The computational results show that the algorithm can produce reliable solutions to apply in real-time operations within a reasonable time. Full article
(This article belongs to the Special Issue Sensors for Mobile Robot)
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