Selected Papers from the 7th Modelling and Simulation for Autonomous Systems Conference (MESAS 2020)

A special issue of Robotics (ISSN 2218-6581). This special issue belongs to the section "Industrial Robots and Automation".

Deadline for manuscript submissions: closed (1 February 2021) | Viewed by 10523

Special Issue Editors


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Guest Editor
Central European Institute of Technology, Brno University of Technology, Brno, Czech Republic
Interests: mobile robotics; durable robots; human-to-robot interfaces; visual telepresence; multispectral data fusion; indoor and outdoor self-localization and navigation; robot sensors

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Guest Editor
Simulation Team, DIME University of Genoa, Genoa, Italy
Interests: modeling and simulation; industrial logistics; industrial plant engineering; autonomous systems; project management; bio-medical systems

Special Issue Information

Dear Colleagues

We are on the edge of another scientific and technological revolution, which will have an almost certain dramatic impact on the development of the global society, outperforming all previous milestones of human progress.

This factor is caused by significant advances in the field of artificial intelligence, robotics, and industrial automation. The impact of these phenomena can no longer be easily predicted, even in the short term. There is already a sufficient amount of proof that clearly indicates the beginning of trends (up to 5 years) that will fundamentally change the nature of security, communications, transport, labor market, social environment, and interactions with machines.

This Special Issue seeks contributions (the last achieved results in the field of research, development and experimentation) across all domains affected by this scientific and technical progress, with particular focus on the operational implementation and modeling and simulation (M&S) of robotics and artificial intelligence, including the harmonization of current/future needs and technological capabilities.

The Issue will contain revised and substantially extended versions of selected papers that will be presented at the Seventh Modelling and Simulation for Autonomous Systems Conference (MESAS 2020), but we also strongly encourage researchers unable to participate in the conference to submit articles for this call. Papers are welcomed on topics that are related to the above-mentioned areas, within the aspects of theory, design, practice, and applications related to modeling and simulation, autonomous systems, artificial intelligence, and robotics, including, but not limited to:

Autonomous systems in the context of future warfare and security environment (concepts, applications, standards, etc.)

  • Autonomous systems strategy, and concept development and implementation in all domains of operation
  • Advances in artificial intelligence and its impact on future operations
  • Security/cyber security, use of autonomous systems as lethal instruments, and safety of aviation

M&S of intelligent systems: research, development, and application

  • Math modelling and simulation of AI tasks
  • Multi-robot systems/swarms and distributed control
  • AI/machine-learning for autonomous systems
  • Co-simulation tools for multi-domain analysis
  • Effectiveness, reliability, and cyber-security issues

 Future challenges of advanced M&S technology

  • Key challenges of the research and development
  • Human versus machine, advanced M&S projects, and impact on society
  • Validation and the verification process for autonomous functions (V&V via M&S).

Prof. Dr. Ludek Zalud
Prof. Dr. Agostino Bruzzone
Guest Editors

Manuscript Submission Information

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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. Robotics 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 1800 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

  • Modelling and simulation
  • Autonomous systems
  • Artificial intelligence
  • Future warfare
  • Security environment
  • Cyber security
  • Multi-robot systems
  • Machine learning
  • Validation
  • Verification

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Published Papers (1 paper)

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Research

27 pages, 7718 KiB  
Article
Motion Planning and Control of an Omnidirectional Mobile Robot in Dynamic Environments
by Mahmood Reza Azizi, Alireza Rastegarpanah and Rustam Stolkin
Robotics 2021, 10(1), 48; https://doi.org/10.3390/robotics10010048 - 17 Mar 2021
Cited by 38 | Viewed by 9762
Abstract
Motion control in dynamic environments is one of the most important problems in using mobile robots in collaboration with humans and other robots. In this paper, the motion control of a four-Mecanum-wheeled omnidirectional mobile robot (OMR) in dynamic environments is studied. The robot’s [...] Read more.
Motion control in dynamic environments is one of the most important problems in using mobile robots in collaboration with humans and other robots. In this paper, the motion control of a four-Mecanum-wheeled omnidirectional mobile robot (OMR) in dynamic environments is studied. The robot’s differential equations of motion are extracted using Kane’s method and converted to discrete state space form. A nonlinear model predictive control (NMPC) strategy is designed based on the derived mathematical model to stabilize the robot in desired positions and orientations. As a main contribution of this work, the velocity obstacles (VO) approach is reformulated to be introduced in the NMPC system to avoid the robot from collision with moving and fixed obstacles online. Considering the robot’s physical restrictions, the parameters and functions used in the designed control system and collision avoidance strategy are determined through stability and performance analysis and some criteria are established for calculating the best values of these parameters. The effectiveness of the proposed controller and collision avoidance strategy is evaluated through a series of computer simulations. The simulation results show that the proposed strategy is efficient in stabilizing the robot in the desired configuration and in avoiding collision with obstacles, even in narrow spaces and with complicated arrangements of obstacles. Full article
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