Recent Advances in Modelling, Control and Navigation of Ground and Aerial Robots

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

Deadline for manuscript submissions: 31 July 2024 | Viewed by 945

Special Issue Editors


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Guest Editor
Control Systems Department, Faculty of Electronics and Automation, Technical University of Sofia, Plovdiv Branch, 4000 Plovdiv, Bulgaria
Interests: intelligent control; smart and collaborative robots

E-Mail Website
Guest Editor
Control Systems Department, Faculty of Electronics and Automation, Technical University of Sofia, Plovdiv Branch, 4000 Plovdiv, Bulgaria
Interests: robotics; mechatronics; fuzzy logic; neural networks; adaptive control

Special Issue Information

Dear Colleagues,

The development of control and navigation algorithms is the focus of a significant amount of current research works in the field of ground and aerial robotics. Aerial robotics is one of the fastest growing contemporary industries, with constantly emerging new applications. It is to be noted that an important characteristic of the current design approaches to automated systems is that they lie at the intersection of artificial intelligence, computer vision, navigation, path planning and robotics.

This Special Issue on the modelling, control and navigation of UGVs (unmanned ground vehicles) and UAVs (unmanned aerial vehicles) aims to address the topic by collecting contributions from researchers from across the globe. By sharing goals, visions and results within the community, we will richen and stimulate the areas of inquiry focusing on the modelling, control and navigation of ground and aerial robots. The goal is also to emphasize the computational methods of programming control and navigation algorithms for robots (UGVs and UAVs), rather than methods of hardware construction.

We believe that such a collection of papers will serve as a valuable source of ideas to those who work in the research and development of control and navigation algorithms for various robots and unmanned vehicles.

Papers presenting different approaches from nonlinear control theory applied to trajectory tracking control and navigation of robots, as well as various robot control systems, are welcome.

I/We look forward to receiving your contributions.

Prof. Dr. Andon Venelinov Topalov
Dr. Sevil Ahmed
Guest Editors

Manuscript Submission Information

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Keywords

  • robotics, robot manipulators
  • mobile robots
  • mobile manipulators
  • unmanned aerial vehicles
  • collective robotics
  • robot control and navigation
  • backstepping control
  • sliding mode control
  • computed torque control
  • Lyapunov-based nonlinear feedback control
  • intelligent control

Published Papers (2 papers)

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Research

17 pages, 2501 KiB  
Article
Optimizing Mobile Robot Navigation Based on A-Star Algorithm for Obstacle Avoidance in Smart Agriculture
by Antonios Chatzisavvas, Michael Dossis and Minas Dasygenis
Electronics 2024, 13(11), 2057; https://doi.org/10.3390/electronics13112057 - 24 May 2024
Viewed by 220
Abstract
The A-star algorithm (A*) is a traditional and widely used approach for route planning in various domains, including robotics and automobiles in smart agriculture. However, a notable limitation of the A-star algorithm is its tendency to generate paths that lack the desired smoothness. [...] Read more.
The A-star algorithm (A*) is a traditional and widely used approach for route planning in various domains, including robotics and automobiles in smart agriculture. However, a notable limitation of the A-star algorithm is its tendency to generate paths that lack the desired smoothness. In response to this challenge, particularly in agricultural operations, this research endeavours to enhance the evaluation of individual nodes within the search procedure and improve the overall smoothness of the resultant path. So, to mitigate the inherent choppiness of A-star-generated paths in agriculture, this work adopts a novel approach. It introduces utilizing Bezier curves as a postprocessing step, thus refining the generated paths and imparting their smoothness. This smoothness is instrumental for real-world applications where continuous and safe motion is imperative. The outcomes of simulations conducted as part of this study affirm the efficiency of the proposed methodology. These results underscore the capability of the enhanced technique to construct smooth pathways. Furthermore, they demonstrate that the generated paths enhance the overall planning performance. However, they are also well suited for deployment in rural conditions, where navigating complex terrains with precision is a critical necessity. Full article
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24 pages, 4204 KiB  
Article
Kinematic Modeling with Experimental Validation of a KUKA®–Kinova® Holonomic Mobile Manipulator
by Vasil Popov, Andon V. Topalov, Tihomir Stoyanov and Sevil Ahmed-Shieva
Electronics 2024, 13(8), 1534; https://doi.org/10.3390/electronics13081534 - 17 Apr 2024
Viewed by 510
Abstract
We have proposed an open-source holonomic mobile manipulator composed of the KUKA youBot holonomic mobile platform with four Swedish wheels and a stationary aboard six-degrees-of-freedom Kinova Jaco Gen 2H manipulator, and we have developed corresponding kinematic problems. We have defined forward and inverse [...] Read more.
We have proposed an open-source holonomic mobile manipulator composed of the KUKA youBot holonomic mobile platform with four Swedish wheels and a stationary aboard six-degrees-of-freedom Kinova Jaco Gen 2H manipulator, and we have developed corresponding kinematic problems. We have defined forward and inverse analytic Jacobians and designed Jacobian algorithms of forward and inverse mobile manipulator kinematics. An experimental test conducted with the designed laboratory prototype of the investigated mobile manipulator with the described kinematics was used to verify the obtained theoretical results. The goal of the test was to keep constant the position of the gripper in 3D space while the mobile platform is moving to some extend in the 2D workspace. Full article
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