Robotic Applications Using Intelligent Space and IoT Means

A special issue of Electronics (ISSN 2079-9292). This special issue belongs to the section "Computer Science & Engineering".

Deadline for manuscript submissions: closed (30 June 2022) | Viewed by 3223

Special Issue Editors

Department of Cybernetics and Artificial Intelligence, Technical University of Košice, Letná 9, 042 00 Košice, Slovakia
Interests: intelligent control and navigation of mobile robots; computational intelligence; adaptive fuzzy systems; neural networks; evolutionary computing; decision-support systems; multi-agent systems; cooperative robotics; Internet of Things; ubiquitous robotics
Department of Automation and Applied Informatics, Faculty of Automation and Computers, Politehnica University of Timişoara, Bulevardul Vasile Pârvan, Nr. 2, 300223 Timişoara, Romania
Interests: new control structures and algorithms; soft computing; computer-aided design of control systems; modelling; optimization; mechatronic systems; embedded systems; control of power plants; servo systems; electrical driving systems
Special Issues, Collections and Topics in MDPI journals
Department of Cybernetics and Artificial Intelligence, Technical University of Košice, Letná 9, 042 00 Košice, Slovakia
Interests: Industry 4.0; Operator 4.0; cloud and edge computing; human-system interoperability; human-robot interaction; cyber-physical systems; indoor localization; Internet of Things

Special Issue Information

Dear Colleagues,

Conventional robots rely on sensors and computational means, which are placed “on-board”. However, all these sensors and processors consume the carrying and spatial capacity of such a robot. Thanks to the growing number of cheap and efficient devices like various sensor, computing, and communication technologies, the possibilities of their numerous spatial distribution and communication interconnection enables decreasing on-board devices and to shift them into robot’s surroundings.

Intelligent space (IS) and Internet of Things (IoT) are two similar concepts, which enable us to utilize the external computational capacity and surrounding sensors for solving robotic tasks in a much powerful manner than it would be possible to with a robot itself, and so they give rise to the so-called ubiquitous robotics and relate closely to the ambient intelligence as well. These two concepts facilitate the use of a broad range of artificial intelligence methods and approaches like fuzzy logic, neural networks, deep learning, and optimization methods as evolutionary computing for sensory data processing, decision-making support, and control of robots.

Therefore, this Special Issue focuses on two basic groups of applications—either the design of IS and IoT infrastructure, including cloud and edge computing solutions, or robotic applications, ranging from the localization, mapping, path planning, and movement control of individual robots, to the cooperation of robots of diverse constructions, in both real solutions and their simulations. We invite the scientific community to provide theoretical and applied results in this promising research area. The topics of interest include, but are not limited to, the following:

  • Artificial intelligence and machine learning methods in robotics, IS and IoT, e.g., neural networks, fuzzy logic, deep learning, and evolutionary computing;
  • Multi-agent approaches using IS and IoT in cooperative robotics and human–robot interactions;
  • Localization, mapping, and navigation of robots;
  • Decision-making and movement control;
  • Robotic applications in smart homes and smart buildings;
  • Smart IS and IoT technologies, platforms, and systems for ubiquitous robots;
  • Cloud and edge computing for robotic applications;
  • Human–robot interactions and creating ambient intelligence in IS and IoT environments.

Dr. Ján Vaščák
Prof. Dr. Radu-Emil Precup
Dr. Erik Kajáti
Guest Editors

Manuscript Submission Information

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Keywords

  • Intelligent space and Internet of Things
  • Artificial intelligence
  • Machine intelligence
  • Localization and mapping of robots
  • Multi-agent systems
  • Navigation of robots
  • Ubiquitous robot
  • Cooperative robotics
  • Cloud and edge computing
  • Human-robot interaction
  • Ambient intelligence

Published Papers (1 paper)

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Research

13 pages, 3443 KiB  
Article
Human-Robot Motion Control Application with Artificial Intelligence for a Cooperating YuMi Robot
by Roman Michalík, Aleš Janota, Michal Gregor and Marián Hruboš
Electronics 2021, 10(16), 1976; https://doi.org/10.3390/electronics10161976 - 17 Aug 2021
Cited by 5 | Viewed by 2267
Abstract
This paper deals with the application focused on motion control for a cooperating YuMi robot. The use of sensors on gloves or other controls to control robots may restrict both operation of the robot and the operator’s activities. Therefore, research focusing on camera-based [...] Read more.
This paper deals with the application focused on motion control for a cooperating YuMi robot. The use of sensors on gloves or other controls to control robots may restrict both operation of the robot and the operator’s activities. Therefore, research focusing on camera-based monitoring of body parts or hand gestures is becoming increasingly popular. The presented approach is based on using a camera to recognize hand gestures and implementing artificial intelligence to control a YuMi robot with Python using a TCP/IP connection. The program can be expanded by integrating other IoT devices to help control the robot and collect data useful for a needed application. Full article
(This article belongs to the Special Issue Robotic Applications Using Intelligent Space and IoT Means)
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