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Machines
Special Issues
Heterogeneity in Intelligent Mobile Robots and Systems
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Heterogeneity in Intelligent Mobile Robots and Systems

A special issue of Machines (ISSN 2075-1702). This special issue belongs to the section "Robotics, Mechatronics and Intelligent Machines".

Deadline for manuscript submissions: closed (28 February 2023) | Viewed by 7724

Special Issue Editors

Dr. Ramviyas Nattanmai Parasuraman

E-Mail Website
Guest Editor
Department of Computer Science, University of Georgia, Athens, GA 30602, USA
Interests: robotics; multi-robot systems; teleoperation; human-robot interfaces; rescue robotics
Special Issues, Collections and Topics in MDPI journals
Prof. Dr. Ramana Pidaparti

E-Mail Website
Guest Editor
College of Engineering, The University of Georgia, Athens, GA 30602, USA
Interests: design innovation; nano/micro-technology; biomechanics; drug delivery devices; STEM education
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

The world is witnessing a rapid growth of intelligent machines, systems, and pervasive robots in households, industries, education, agriculture, transportation, defense, and security. As a result, there is growing interest in developing integrative solutions that form heterogeneous systems to solve complex problems that vary spatially and in complexity. Heterogeneous systems involve a variety of robots or agents that are physically or functionally different, which coordinate to achieve shared or global mission goals beyond the scope of what an individual agent can achieve in the system. Here, heterogeneity refers to the quality or state of being diverse in character or content.

This Special Issue will present recent advances in intelligent systems and mobile robots with a specific focus on the heterogeneity aspects in the system. Some of the areas of interest include biological systems exploiting heterogeneity, nature-inspired methods in heterogeneous mobile robots, cooperative communication, collaborative control, mission planning for heterogeneous systems, object manipulation using heterogeneity, combined learning from heterogeneous agents, and heterogeneous multirobot systems.

We welcome original research papers that focus on fundamental research and experimental research on the theme of Heterogeneity in Intelligent Robots and Systems. Survey papers or tutorial papers on related topics are also encouraged.

Dr. Ramviyas Nattanmai Parasuraman
Prof. Dr. Ramana Pidaparti
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.

Published Papers (3 papers)

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Research

17 pages, 4878 KiB  
Article
Development of a Worker-Following Robot System: Worker Position Estimation and Motion Control under Measurement Uncertainty
by Hyeongrok Yoo, Dohyun Kim, Jeonghyun Sohn, Kyungchang Lee and Changwon Kim
Machines 2023, 11(3), 366; https://doi.org/10.3390/machines11030366 - 08 Mar 2023
Cited by 1 | Viewed by 1287
Abstract
This study proposes a sensor data process and motion control method for a mobile platform essential for transporting finished products or subsidiary materials in a smart factory. We developed a system that recognizes a fiducial marker printed on the work clothes worn by [...] Read more.
This study proposes a sensor data process and motion control method for a mobile platform essential for transporting finished products or subsidiary materials in a smart factory. We developed a system that recognizes a fiducial marker printed on the work clothes worn by a worker, estimates the worker’s location, and follows the worker using the estimated location. To overcome the limitations of simulation-based research, gait data on a two-dimensional plane were derived through a human gait model and an error model according to the distance between the image sensor and the reference marker. The derived gait data were defined as the localization result for the worker, and a Kalman filter was used to robustly address the uncertainty of the localization result. A virtual spring-damper system was applied to follow the Mecanum wheel-based mobile platform workers. The performance of the proposed algorithm was demonstrated through comparative simulations with existing methods. Full article
(This article belongs to the Special Issue Heterogeneity in Intelligent Mobile Robots and Systems)
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23 pages, 13717 KiB  
Article
Research on Heat Transfer through a Double-Walled Heat Shield of a Firefighting Robot
by Amado Ștefan, Lucian Ștefăniță Grigore, Cristian Molder, Ionica Oncioiu, Bogdan Vlădescu, Daniel Constantin, Damian Gorgoteanu, Răzvan-Ionuț Bălașa and Ștefan Mustață
Machines 2022, 10(10), 942; https://doi.org/10.3390/machines10100942 - 17 Oct 2022
Cited by 1 | Viewed by 1904
Abstract
Burning forests, petrochemical installations and material warehouses generate very large fields and thermal gradients, which means human intervention to extinguish the fire is greatly limited. For that reason, the use of robots is recommended, but because of high temperature, they have to be [...] Read more.
Burning forests, petrochemical installations and material warehouses generate very large fields and thermal gradients, which means human intervention to extinguish the fire is greatly limited. For that reason, the use of robots is recommended, but because of high temperature, they have to be equipped with protective thermal shields. This article is an analytical, numerical, and experimental study on how a double-wall, stainless steel heat shield influenced the thermal gradients acting on a firefighting robot. Following the analytical analysis at a maximum temperature of 350 °C, it was possible to identify the parameters that must be measured to be correlated with those from finite element analysis (FEM) analysis. Experimental tests showed a decrease in temperature behind the shield due to the stainless steel and the double-walled. The main conclusions and contributions of this paper consist of the realization of a finite difference model with FEM that takes into account conduction, convection, and radiation. It also highlights the benefits of using a multilayer shield. Full article
(This article belongs to the Special Issue Heterogeneity in Intelligent Mobile Robots and Systems)
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19 pages, 17916 KiB  
Article
Practical Obstacle-Overcoming Robot with a Heterogeneous Sensing System: Design and Experiments
by Yuanhao Huang, Ruifeng Meng, Jingyang Yu, Ziqi Zhao and Xinyu Zhang
Machines 2022, 10(5), 289; https://doi.org/10.3390/machines10050289 - 21 Apr 2022
Cited by 3 | Viewed by 3789
Abstract
It is challenging for robots to improve their ability to pass through unstructured environments while maximizing motion performance in cities and factories. This paper presents an omnidirectional deformable wheeled robot based on a heterogeneous sensing system. We presented a novel structure with dual [...] Read more.
It is challenging for robots to improve their ability to pass through unstructured environments while maximizing motion performance in cities and factories. This paper presents an omnidirectional deformable wheeled robot based on a heterogeneous sensing system. We presented a novel structure with dual swing arms and six wheels. Moreover, the heterogeneous sensing system can perceive critical environmental data, such as friction and temperature, to assist the robot in executing different functions. In addition, a top-down ‘Order–Decision–Behaviour’ overall motion strategy is proposed based on the data acquisition. The strategy combines the key condition parameters with a kinetic model to integrate the robot’s movement, overcoming of obstacles, and mode switching. The robot is flexible and fast in moving mode and can overcome obstacles safely, reliably, and simply. This study describes the robot’s design, strategy, simulation, and experiments. Motion performance and strategy were investigated and evaluated in field environments. Full article
(This article belongs to the Special Issue Heterogeneity in Intelligent Mobile Robots and Systems)
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