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Applied Sciences
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Swarm Robotics 2020
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Swarm Robotics 2020

A special issue of Applied Sciences (ISSN 2076-3417). This special issue belongs to the section "Computing and Artificial Intelligence".

Deadline for manuscript submissions: closed (31 October 2020) | Viewed by 12166

Special Issue Editor

Dr. Giandomenico Spezzano

E-Mail Website
Guest Editor
National Research Council of Italy (CNR), Institute for High Performance Computing and Networking (ICAR), Via Pietro Bucci, 8-9C, 87036 Rende, CS, Italy
Interests: Internet of Things; learning (artificial intelligence); energy management systems
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

With over 24 billion devices expected to be installed by 2020, the IoT ecosystems will touch almost every industry, including transportation, insurance, utilities, telecom, healthcare, smart homes, oil and gas, and more, creating a massive data-driven economy and enabling a whole new range of unique services and products.

Robots, traditionally stand-alone systems, are quickly moving towards “everything connected” applications, accelerated by the availability of IoT-powered resources like big data, advancements in machine learning and the deployment of distributed cloud computing infrastructure at the network edge.

In this Special Issue we want to address recent advances in the following areas:

  • Cognitive computing
  • Multi-actor coalition forming and cooperative behaviors
  • Adaptive capability reconfiguration through distributed intelligence
  • Fog computing for smart manufacturing
  • Multi-agent robot systems
  • Deep learning and reinforcement learning for robotics
  • Building smart systems using IoT, deep machine learning, robotics, and artificial intelligence
  • Cellular learning automata for networked robots.
  • Wearable interactions for joint human–robot problem solving
  • Neuromorphic robotic control architectures and controllers
  • Cloud-assisted swarm robotics with novel communication paradigms

Prof. Dr. Giandomenico Spezzano
Guest Editor

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. Applied Sciences is an international peer-reviewed open access semimonthly 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

  • Cognitive computing 
  • Multi-actor coalition forming and cooperative behaviors 
  • Adaptive capability reconfiguration through distributed intelligence 
  • Fog computing for smart manufacturing 
  • Multi-agent robot systems
  • Deep learning and reinforcement learning for robotics 
  • Building smart systems using IoT, deep machine learning, robotics, and artificial intelligence 
  • Cellular learning automata for networked robots
  • Wearable interactions for joint human–robot problem solving 
  • Neuromorphic robotic control architectures and controllers 
  • Cloud-assisted swarm robotics with novel communication paradigms

Published Papers (4 papers)

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Research

16 pages, 1918 KiB  
Article
Design and Implementation of a Real Time Control System for a 2DOF Robot Based on Recurrent High Order Neural Network Using a Hardware in the Loop Architecture
by Ulises Davalos-Guzman, Carlos E. Castañeda, Lina Maria Aguilar-Lobo and Gilberto Ochoa-Ruiz
Appl. Sci. 2021, 11(3), 1154; https://doi.org/10.3390/app11031154 - 27 Jan 2021
Cited by 4 | Viewed by 1887
Abstract
In this paper, a real-time implementation of a sliding-mode control (SMC) in a hardware-in-loop architecture is presented for a robot with two degrees of freedom (2DOF). It is based on a discrete-time recurrent neural identification method, as well as the high performance obtained [...] Read more.
In this paper, a real-time implementation of a sliding-mode control (SMC) in a hardware-in-loop architecture is presented for a robot with two degrees of freedom (2DOF). It is based on a discrete-time recurrent neural identification method, as well as the high performance obtained from the advantages of this architecture. The identification process uses a discrete-time recurrent high-order neural network (RHONN) trained with a modified extended Kalman filter (EKF) algorithm. This is a method for calculating the covariance matrices in the EKF algorithm, using a dynamic model with the associated and measurement noises, and it increases the performance of the proposed methodology. On the other hand, the decentralized discrete-time SMC technique is used to minimize the motion error. A Virtex 7 field programmable gate array (FPGA) is configured based on a hardware-in-loop real-time implementation to validate the proposed controller. A series of several experiments demonstrates the robustness of the algorithm, as well as its immunity to noise and the inherent robustness to external perturbation, as are typically found in the input reference signals of a 2DOF manipulator robot. Full article
(This article belongs to the Special Issue Swarm Robotics 2020)
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20 pages, 5156 KiB  
Article
Safety Lighting Sensor Robots Communicate in the Middle of the Highway/Roads
by Mingu Lee, Jongyoun Won, Jimi Kim, Hyejin Jeon, InKyoung Hong, Eunji Jung, Taehwan Jin, Seowoo Jeong, Seok-Hyun Ga, Chan-Jong Kim and Juhyun Eune
Appl. Sci. 2020, 10(7), 2353; https://doi.org/10.3390/app10072353 - 30 Mar 2020
Viewed by 3587
Abstract
A new robot-to-robot communication system is designed for operation in the middle of highways/roads to support mobile safety of approaching vehicles. Robot devices capable of directing a vehicle on a bypass route using the proposed vehicle guidance method are detailed. The safety device [...] Read more.
A new robot-to-robot communication system is designed for operation in the middle of highways/roads to support mobile safety of approaching vehicles. Robot devices capable of directing a vehicle on a bypass route using the proposed vehicle guidance method are detailed. The safety device includes a detector configured to detect a vehicle approaching the sensor robot and an image projector configured to project an image onto the road surface of the approaching vehicle when the vehicle is recognized. Robots can interact in two ways: (1) directly with drivers in the car to avoid the lane problem and (2) among sensor robots in ad-hoc networks, to transfer the information to the cloud to distribute via the mobile app for users far away from the location. In summary, the research results show that the sensor robots and mobile app mainly operated from 6 a.m. to 10 a.m. and provided customized service by modifying/solving uncommon sudden events on the road quickly. Full article
(This article belongs to the Special Issue Swarm Robotics 2020)
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Graphical abstract

11 pages, 3665 KiB  
Article
Communication with Self-Growing Character to Develop Physically Growing Robot Toy Agent
by Mingu Lee, Jiyong Kim, Hyunsu Jeong, Azure Pham, Changhyeon Lee, Pilwoo Lee, Thiha Soe, Seong-Woo Kim and Juhyun Eune
Appl. Sci. 2020, 10(3), 923; https://doi.org/10.3390/app10030923 - 31 Jan 2020
Cited by 3 | Viewed by 2553
Abstract
Robots for communication are developed extensively with an emphasis on sympathy. This study deals with the growth of character and the control of its operation. The child has time to be alone with the nature of his/her robot friend. That child can interact [...] Read more.
Robots for communication are developed extensively with an emphasis on sympathy. This study deals with the growth of character and the control of its operation. The child has time to be alone with the nature of his/her robot friend. That child can interact with other people’s emotional expressions through a robot. Step by step, the robot character will grow as the child grows. Through design studies, qualitative processes such as customer experience audit, eye tracking, mental model diagrams, and semantic differences have been executed for the results. The participatory behavior research approach through user travel is mapped from the user’s lead to the evidence-based design. This research considers how synthetic characteristics can be applied to the physical growth of robot toys through the product design process. With the development of robot toy “Buddy”, two variations on the robot were made to achieve recognizable growth. (1) one-dimensional height scaling and (2) facial expression including the distance between two eyes on the screen. Observations represented children’s reactions when "Buddy" was released with the children. As an independent synthetic character, the robot was recognized by children who had the designed function. Robots for training may require more experimentation. Full article
(This article belongs to the Special Issue Swarm Robotics 2020)
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16 pages, 10058 KiB  
Article
A Multi-Robot Formation Platform based on an Indoor Global Positioning System
by Hong’an Yang, Xuefeng Bao, Shaohua Zhang and Xu Wang
Appl. Sci. 2019, 9(6), 1165; https://doi.org/10.3390/app9061165 - 19 Mar 2019
Cited by 4 | Viewed by 3376
Abstract
Aimed at the problem that experimental verifications are difficult to execute due to lacking effective experimental platforms in the research field of multi-robot formation, we design a simple multi-robot formation platform. This proposed general and low-cost multi-robot formation platform includes the indoor global-positioning [...] Read more.
Aimed at the problem that experimental verifications are difficult to execute due to lacking effective experimental platforms in the research field of multi-robot formation, we design a simple multi-robot formation platform. This proposed general and low-cost multi-robot formation platform includes the indoor global-positioning system, the multi-robot communication system, and the wheeled mobile robot hardware. For each wheeled mobile robot in our platform, its real-time position information in the centimeter-level precise is obtained by the Marvelmind Indoor Navigation System and orientation information is obtained by the six-degree-of-freedom gyroscope. The Transmission Control Protocol/Internet Protocol (TCP/IP) wireless communication infrastructure is selected to support the communication among robots and the data collection in the process of experiments. Finally, a set of leader–follower formation experiments are performed by our platform, which include three trajectory tracking experiments of different types and numbers under deterministic environment and a formation-maintaining experiment with external disturbances. The results illustrate that our multi-robot formation platform can be effectively used as a general testbed to evaluate and verify the feasibility and correctness of the theoretical methods in the multi-robot formation. What is more, the proposed simple and general formation platform is beneficial to the development of platforms in the fields of multi-robot coordination, formation control, and search and rescue missions. Full article
(This article belongs to the Special Issue Swarm Robotics 2020)
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