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Machines
Special Issues
Recent Advances in Mobile Robots
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Recent Advances in Mobile Robots

A special issue of Machines (ISSN 2075-1702). This special issue belongs to the section "Automation and Control Systems".

Deadline for manuscript submissions: closed (31 August 2024) | Viewed by 4809

Special Issue Editors

Prof. Dr. Andre Schneider De Oliveira

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Guest Editor
Academic Department of Electronics, Universidade Tecnologica Federal do Parana, Curitiba, Brazil
Interests: navigation and localization; autonomous and intelligent systems, perception and identification of environments; cognition and deliberative decisions; industrial multi-agent systems; cyber-physical systems
Dr. Marco Antonio Simoes Teixeira

E-Mail
Guest Editor
Department of Computer Science, Federal University of Technology – Paraná (UTFPR), Dois Vizinhos, Brazil
Interests: robotics and automation; industrial robots; agricultural robots; sensor processing applied to mobile robots; intelligent autonomous systems; IoT applied to mobile robots; AI techniques applied to robotics problems
Prof. Dr. José Lima

E-Mail Website
Guest Editor
1. Research Centre in Digitalization and Intelligent Robotics (CeDRI), Polytechnic Institute of Bragança, 5300-252 Bragança, Portugal
2. Centre for Robotics in Industry and Intelligent Systems (CRIIS), Institute for Systems and Computer Engineering, Technology and Science (INESC-TEC), 4200-465 Porto, Portugal
Interests: mobile robot localization; collaborative robots; IoT; path planning; simulation
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

Mobile robots are an emerging class of machines with the versatility and adaptability required to introduce enabling technologies in industries and the reliability of operation needed in challenging environments. However, robots must still overcome challenges related to autonomy, perception, intelligent behaviors, obstacle avoidance, environment description, coordination and cooperation, and localization.

This Special Issue aims to collect high-quality works discussing recent advances in all kinds of mobile robots (ground, aerial, marine, and submarine) in terms of novel technologies, applications, behaviors, and concepts. Papers on one or more of the following subjects, or other related topics, are especially welcome:

  • Multirobot and multiagent systems, cooperation and collaboration;
  • Planning, reasoning, communication, adaptation, and learning;
  • Self-localization, mapping, and navigation;
  • Autonomy, intelligent behaviors, evolutionary and bio-inspired robotics;
  • Navigation in real environments and complex scenarios;
  • Mechanical design and advanced topologies;
  • Robust techniques of environment perception;
  • Industrial and agriculture applications of mobile robots.

Prof. Dr. Andre Schneider De Oliveira
Dr. Marco Antonio Simoes Teixeira
Prof. Dr. José Lima
Guest Editors

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Machines is an international peer-reviewed open access monthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2400 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • advanced perception
  • localization
  • navigation
  • cooperation and collaboration
  • intelligent behaviors
  • autonomy
  • challenging environments

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Published Papers (2 papers)

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Research

18 pages, 7970 KiB  
Article
Defining the Consistent Velocity of Omnidirectional Mobile Platforms
by Elena Rubies and Jordi Palacín
Machines 2024, 12(6), 397; https://doi.org/10.3390/machines12060397 - 11 Jun 2024
Cited by 1 | Viewed by 1213
Abstract
The maximum linear (or translational) velocity achievable by an omnidirectional platform is not uniform as it depends on the angular orientation of the motion. This velocity is limited by the maximum angular velocity of the motors driving the wheels and also depends on [...] Read more.
The maximum linear (or translational) velocity achievable by an omnidirectional platform is not uniform as it depends on the angular orientation of the motion. This velocity is limited by the maximum angular velocity of the motors driving the wheels and also depends on the mechanical configuration and orientation of the wheels. This paper proposes a procedure to compute an upper bound for the translational velocity, named the consistent velocity of the omnidirectional platform, which is defined as the minimum of the maximum translational velocities achievable by the platform in any angular orientation with no wheel slippage. The consistent velocity is then a uniform translational velocity always achievable by the omnidirectional platform regardless of the angular orientation of the motion. This paper reports the consistent velocity for a set of omnidirectional platforms with three omni wheels that have the same radius and angular distribution but different angular orientations. Results have shown that these platforms can achieve different maximum velocities in different angular orientations although the consistent velocity is the same for all of them. Results have also shown that the consistent velocity has a linear relation with the angular velocity of the motion. The consistent velocity of a mobile platform can be used by its path-planning algorithm as an upper bound that guarantees the execution of any omnidirectional motion at a uniform and maximum translational velocity. Full article
(This article belongs to the Special Issue Recent Advances in Mobile Robots)
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21 pages, 6488 KiB  
Article
Multi-Robot Task Scheduling for Consensus-Based Fault-Resilient Intelligent Behavior in Smart Factories
by Vivian Cremer Kalempa, Luis Piardi, Marcelo Limeira and Andre Schneider de Oliveira
Machines 2023, 11(4), 431; https://doi.org/10.3390/machines11040431 - 28 Mar 2023
Cited by 5 | Viewed by 2711
Abstract
In smart factories, several mobile and autonomous robots are being utilized in warehouses to reduce overhead and operating costs. In this context, this paper presents a consensus-based fault-resilient intelligent mechanism called Consensual Fault-Resilient Behavior (CFRB). The proposed approach is based on three hierarchical [...] Read more.
In smart factories, several mobile and autonomous robots are being utilized in warehouses to reduce overhead and operating costs. In this context, this paper presents a consensus-based fault-resilient intelligent mechanism called Consensual Fault-Resilient Behavior (CFRB). The proposed approach is based on three hierarchical plans: imposition, negotiation, and consensus. Fault resilience is achieved using the collective behavior of a multi-robot system that applies ternary decisions based on these plans. The difference between this paper and our previous work is on the consensual level. As it is suitable for the analysis and design of coordinated behavior between autonomous robots, the consensus plan is restructured and enhanced. The proposed approach is tested and evaluated in a virtual warehouse based on a real environment. In addition, it is compared with other current approaches, and the results are presented, demonstrating its efficiency. Full article
(This article belongs to the Special Issue Recent Advances in Mobile Robots)
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