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Latest Advances in Automation and Robotics
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Latest Advances in Automation and Robotics

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

Deadline for manuscript submissions: closed (30 December 2023) | Viewed by 5405

Special Issue Editors

Dr. Ossama Mokhiamar

E-Mail Website
Guest Editor
Mechanical Engineering Department, Alexandria University, Alexandria 21544, Egypt
Interests: vehicle dynamics and control; fuzzy Logic and artificial neural network, vibrations control; robot singularity
Dr. Semaan Elias Amine

E-Mail Website
Guest Editor
Department of Mechanical Engineering, College of Engineering and Technology, American University of the Middle East, Block 3, Street No. 106, Egaila 15453, Kuwait
Interests: parallel robots; cable-driven robots; forward/inverse kinematics; singularities; feedback control
Dr. Haitham El-Hussieny

E-Mail Website
Guest Editor
Department of Mechatronics and Robotics Engineering, Egypt-Japan University of Science and Technology, Alexandria 21934, Egypt
Interests: robotics and automation; control engineering; artificial intelligence; embedded systems design
Dr. Khaled Elgeneidy

E-Mail Website
Guest Editor
Electrical and Electronics Engineering, Coventry University in Egypt (TKH), Cairo, Egypt
Interests: soft robotics; mechatronics; mechanical design

Special Issue Information

Dear Colleagues,

Technology is used to automate processes. Automation is used in manufacturing, robotics, the automotive sector or industry, information technology, and business-decision software. The newest innovations in automation and robotics are based on cutting-edge computer systems for autonomous control and sensory input, which eventually lead to the complete replacement of human labor. The Latest Advances in Automation and Robotics Special Issue provides an Open-Access platform to publish the latest contributions in the field of robotics and automation. Academics, researchers, and engineers in the fields of industry, manufacture, automation, robotics, machinery, electronics, electrical, sensors and actuators, as well as relevant fields, will find this Special Issue an invaluable resource for their professional development. These include subjects such as novel robotic platforms, control of robotics systems, surgical robotics, artificial organs, neural networks and fuzzy-logic applications in robotics, multi-robots, field and service robotics, human–robot interaction, and interfaces and modeling of robotic systems.

Dr. Ossama Mokhiamar
Dr. Semaan Elias Amine
Dr. Haitham El-Hussieny
Dr. Khaled Elgeneidy
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. 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

  • parallel robots/manipulators/mechanisms
  • cable-driven robots
  • surgical robots
  • biomedical robots
  • industrial robots
  • autonomous robots
  • nano robots
  • aerial robots
  • autonomous vehicles
  • cobots
  • humanoid robots
  • robot singularity
  • type synthesis
  • agricultural automation
  • additive manufacturing and 3D printing
  • fuzzy-logic, artificial intelligence, machine learning and deep learning applications in robotics and automation

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Further information on MDPI's Special Issue polices can be found here.

Published Papers (3 papers)

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Research

20 pages, 17042 KiB  
Article
Control of a Novel Parallel Mechanism for the Stabilization of Unmanned Aerial Vehicles
by Mohamad Haidar Chamas, Semaan Amine, Eddie Gazo Hanna and Ossama Mokhiamar
Appl. Sci. 2023, 13(15), 8740; https://doi.org/10.3390/app13158740 - 28 Jul 2023
Cited by 6 | Viewed by 890
Abstract
The use of delivery drones is currently hindered by the inability of transported objects to maintain a steady position, which can result from roll-, pitch-, and heave-induced vibrations. This paper proposes a novel parallel manipulator for stabilizing the platform of unmanned aerial vehicles. [...] Read more.
The use of delivery drones is currently hindered by the inability of transported objects to maintain a steady position, which can result from roll-, pitch-, and heave-induced vibrations. This paper proposes a novel parallel manipulator for stabilizing the platform of unmanned aerial vehicles. The proposed mechanism builds upon an existing study of a 3-SRR/SRU parallel stabilizing mechanism by incorporating the dynamical properties of the system into the control model. The resultant control technique is then applied to both the 3-RRS and 3-SRR mechanisms, and a comparative study is conducted to identify the most reliable stabilizer for regulating the platform’s orientation. The results demonstrate that the 3-SRR mechanism exhibits superior robustness and stability characteristics compared to the other two mechanisms. Additionally, the 3-SRR mechanism is controlled using artificial neural networks, which significantly improves the accuracy and stability of the system. Overall, this research presents a novel and effective solution for stabilizing the platform of unmanned aerial vehicles, with significant implications for the development of delivery drone technology. Full article
(This article belongs to the Special Issue Latest Advances in Automation and Robotics)
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20 pages, 8473 KiB  
Article
Using A Rotary Spring-Driven Gripper to Manipulate Objects of Diverse Sizes and Shapes
by Safal Lama and Taher Deemyad
Appl. Sci. 2023, 13(14), 8444; https://doi.org/10.3390/app13148444 - 21 Jul 2023
Cited by 1 | Viewed by 1524
Abstract
This paper introduces a new gripper mechanism that is capable of grasping objects of various sizes and shapes without the need for a closed-loop control system. Industries such as the food and beverage industry are seeking innovative soft grippers with a simplified control [...] Read more.
This paper introduces a new gripper mechanism that is capable of grasping objects of various sizes and shapes without the need for a closed-loop control system. Industries such as the food and beverage industry are seeking innovative soft grippers with a simplified control system. The proposed design utilizes a rotary mechanism with springs to achieve both force-closure and form-closure grasping. The design sets itself apart from most soft grippers with its ability to offer grasping forces in all lateral directions. The gripper is designed in a cylindrical shape and is actuated by a stepper motor with a gearbox to enhance the torque. Three stacked curvilinear and linear rails convert the motor’s rotational motion into linear motion. The grasping component consists of three curved parts, each incorporating numerous compression springs. Currently, the gripper can effectively grasp objects ranging from five to nine centimeters in diameter, with a maximum height of ten centimeters. However, the design is scalable based on specific application requirements. A comprehensive CAD model of the mechanism was developed, and multiple analyses were conducted, including motion, topology, and stress analyses. Finally, a functional prototype of the gripper was constructed and successfully tested for grasping fruits and vegetables of different sizes and shapes. This research can be further expanded to explore the application of the gripper in space exploration with its novel and completely electro-mechanical foundation. Full article
(This article belongs to the Special Issue Latest Advances in Automation and Robotics)
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16 pages, 1412 KiB  
Article
Plant-Inspired Soft Growing Robots: A Control Approach Using Nonlinear Model Predictive Techniques
by Haitham El-Hussieny, Ibrahim A. Hameed and Ahmed B. Zaky
Appl. Sci. 2023, 13(4), 2601; https://doi.org/10.3390/app13042601 - 17 Feb 2023
Cited by 4 | Viewed by 2125
Abstract
Soft growing robots, which mimic the biological growth of plants, have demonstrated excellent performance in navigating tight and distant environments due to their flexibility and extendable lengths of several tens of meters. However, controlling the position of the tip of these robots can [...] Read more.
Soft growing robots, which mimic the biological growth of plants, have demonstrated excellent performance in navigating tight and distant environments due to their flexibility and extendable lengths of several tens of meters. However, controlling the position of the tip of these robots can be challenging due to the lack of precise methods for measuring the robots’ Cartesian position in their working environments. Moreover, classical control techniques are not suitable for these robots because they involve the irreversible addition of materials, which introduces process constraints. In this paper, we propose two optimization-based approaches, combining Moving Horizon Estimation (MHE) with Nonlinear Model Predictive Control (NMPC), to achieve superior performance in point stabilization, trajectory tracking, and obstacle avoidance for these robots. MHE is used to estimate the entire state of the robot, including its unknown Cartesian position, based on available configuration measurements. The proposed NMPC approach considers process constraints by relying on the estimated state to ensure optimal performance. We perform numerical simulations using the nonlinear kinematic model of a vine-like robot, one of the newly introduced plant-inspired growing robots, and achieve satisfactory results in terms of reduced computation times and tracking error. Full article
(This article belongs to the Special Issue Latest Advances in Automation and Robotics)
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