Recent Advances in Robotics and Automation Systems

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

Deadline for manuscript submissions: 15 April 2025 | Viewed by 2320

Special Issue Editors


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Guest Editor
Department of Agricultural Technology, Norwegian Institute of Bioeconomy Research, Pb 115, 1431 Ås, Norway
Interests: autonomous systems; precision agriculture; remote sensing; robotics

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Guest Editor
1. LITIS Laboratory, Normandy University of Le Havre, Le Havre, Normandy, France
2. Faculty of Mathematics and Natural Sciences, Cardinal Stefan Wyszynski University, 01-815 Warsaw, Poland
Interests: interaction networks; dynamic graphs; nature-inspired comp.; complex systems; swarm robotics
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Guest Editor
Center for Precision Agriculture, Department of Agricultural Technology and System Analysis, Norwegian Institute of Bioeconomy Research (NIBIO), Nylinna 226, 2849 Kapp, Norway
Interests: precision agriculture; site-specific fertilization; agricultural technology; remote sensing; crop spectroscopy; crop water and nutrient stress; soil spectroscopy and mapping
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

In recent years, the use of robotics and automation systems has become increasingly prevalent. These systems are capable of performing a wide range of tasks, such as planting, harvesting, and even monitoring the health of crops. One of the key advantages of these systems is that they can operate autonomously, thus allowing for farmers and growers to focus on other important tasks. Furthermore, these systems can be more accurate and precise than their human counterparts, which can lead to significant improvements in crop yields and overall efficiency. Despite the benefits of these systems, there are still many challenges to be overcome. For example, many of these systems are expensive and require a high level of technical expertise to operate.

The aim of this Special Issue is to bring together researchers and practitioners from across the agricultural robotics and automation community to discuss these challenges and explore potential solutions. We encourage submissions on a wide range of topics, including, but not limited to: advanced sensing and mapping technologies, autonomous navigation and path planning, intelligent control systems, data fusion and machine learning, and human–robot collaboration.

In addition to original research articles, we also welcome review papers and case studies that highlight the current state-of-the-art in agricultural robotics and automation. These contributions can help to identify the best practices and highlight areas where further research is needed.

We invite original research articles, review papers, and case studies on the following (but not limited to) topics:

  • Robotics in agriculture: advancements, applications, and future prospects;
  • Precision sprayers: design, testing, and optimization for efficient pesticide and herbicide applications;
  • Precision spreaders: innovations and improvements in fertilizer and seed application;
  • Agricultural robots: uses and benefits for crop management, harvesting, and transportation;
  • Swarm robotics: potential applications and challenges in precision agriculture;
  • Sensing technologies for precision agriculture: advances in sensors, data analysis, and decision-making;
  • Automation and control systems for precision machinery: design, implementation, and performance evaluation;
  • Human–robot interaction in agriculture: challenges and opportunities for improving productivity and safety;
  • Precision machinery for sustainable agriculture: environmental impacts, resource management, and social.

Dr. El Houssein Chouaib Harik
Prof. Dr. Frédéric Guinand
Dr. Krzysztof Kusnierek
Guest Editors

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Keywords

  • autonomous navigation and path planning
  • swarm robotics
  • intelligent control systems
  • data fusion
  • machine learning
  • human–robot collaboration

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Published Papers (1 paper)

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Research

20 pages, 9909 KiB  
Article
Research and Implementation of Intelligent Control System for Grassland Grazing Robotic Vehicle
by Hongyuan Zhang, Mingjuan Han, Yajie Mi, Jile Xin, Wei Fan and Ding Han
Electronics 2023, 12(14), 3078; https://doi.org/10.3390/electronics12143078 - 14 Jul 2023
Cited by 2 | Viewed by 1434
Abstract
In response to the complex animal husbandry environment, wide livestock range, and labor shortage in Inner Mongolia grasslands, this study designed an intelligent control system for robotic vehicles used in natural grazing grassland environments. The control system consists of software and hardware components [...] Read more.
In response to the complex animal husbandry environment, wide livestock range, and labor shortage in Inner Mongolia grasslands, this study designed an intelligent control system for robotic vehicles used in natural grazing grassland environments. The control system consists of software and hardware components and motion control algorithms. Based on the application characteristics of different mechanisms of the robotic vehicle, the motion control of the robotic vehicle is decomposed into longitudinal speed control and lateral steering control. The longitudinal speed control adopts the traditional Proportional-Integral-Differential (PID) control method. Since the hardware composition and internal angle calculation method of the steering system are complex and prone to deviations caused by external terrain, a lateral adaptive fuzzy PID controller was constructed with lateral deviation and deviation change rate as input variables and parameters Kp, Ki, and Kd as outputs. The field test results show that when the longitudinal speed was set to 0.5 m/s, the adjustment time was 1.95 s, and the steady-state error was about 0. When the longitudinal speed was the same, the lateral adaptive fuzzy PID controller reduced the rise time by 0.77 s compared to traditional control methods, reduced overshoot and steady-state error by 2%, and quickly recovered to a steady state after being disturbed. The following test results show that the designed intelligent control system can achieve real-time tracking of targets and that the motion controllers can effectively control speed and steering angle. Therefore, the intelligent control system designed in this paper can effectively achieve stable and real-time control of the robotic vehicle. Full article
(This article belongs to the Special Issue Recent Advances in Robotics and Automation Systems)
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