1. Rockerbot: rover kinematics for maize farmingMatteo Zinzani, Mirko Usuelli, Paolo Cudrano, Simone Mentasti, Carlo Arnone, Andrea Cerutti, Alba Lo Grasso, Abdelrahman Tarek Farag, Matteo Matteucci, 2024, izvirni znanstveni članek Opis: Crop inspection plays a significant role in modern agricultural practices as it enables farmers to evaluate the condition of their fields and make informed decisions regarding crop management. However, existing methods of crop inspection are often labor-intensive, leading to slow and costly processes. Therefore, there is a pressing need for more efficient and cost-effective approaches to crop inspection to improve agricultural productivity, sustainability, and to deal with labor shortage. In this study, we present Rockerbot, a novel agricultural robot designed as a compact rover capable of navigating and surveying maize fields in their early growth stages. This technology is essential for timely landscape adjustments to ensure optimal crop production. The document offers a comprehensive review of the decisions made during the hardware and software development stages. The hardware section is centered around design choices influenced by the rover’s kinematics, while the software section outlines the tasks that Rockerbot can perform using mobile perception, such as mapping, sensing, and detection.
Ključne besede: agricultural robotics, smart agriculture, autonomous navigation, watering, mapping
Objavljeno v DKUM: 23.04.2025; Ogledov: 0; Prenosov: 0
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2. An autonomous field robot Farmbeast - the field robot event 2023 editionGregor Popič, Urban Naveršnik, Jaša Jernej Rakun Kokalj, Erik Rihter, Jurij Rakun, 2024, izvirni znanstveni članek Opis: In contemporary agricultural automation, the demand for highly adaptive autonomous systems is rapidly increasing. Addressing this need, we introduce the latest iteration of FarmBeast, an advanced autonomous robot designed for precise navigation and operation within the complex terrain of cornfields. This paper details the technical specifications and functionalities of FarmBeast, developed by a Slovenian student team from the University of Maribor for the international Field Robot Event (FRE) 2023. The enhanced version features significant hardware and software upgrades, including a completely new robotic platform, a multichannel LIDAR system, an Xsens IMU, and advanced algorithms for efficient row navigation and weed removal. These integrated technologies aim to improve the efficiency and reliability of agricultural processes, reflecting the broader trend towards digitization and precision farming. Participation in international competitions like FRE provides a valuable platform for students to apply interdisciplinary knowledge, fostering the development of practical skills and understanding the interconnectedness of various scientific disciplines. As highlighted in the results section, FarmBeast performed notably compared to other 14 robots, securing top-five finishes in navigation, plant treatment, and obstacle detection tasks, demonstrating its capabilities in dynamic agricultural settings.
Ključne besede: precision agriculture, robotics, sensors, algorithms
Objavljeno v DKUM: 23.04.2025; Ogledov: 0; Prenosov: 1
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3. Toward optimal robot machining considering the workpiece surface geometry in a task-oriented approachAleš Hace, 2024, izvirni znanstveni članek Opis: Robot workpiece machining is interesting in industry as it offers some advantages, such as higher flexibility in comparison with the conventional approach based on CNC technology. However, in recent years, we have been facing a strong progressive shift to custom-based manufacturing and low-volume/high-mix production, which require a novel approach to automation via the employment of collaborative robotics. However, collaborative robots feature only limited motion capability to provide safety in cooperation with human workers. Thus, it is highly necessary to perform more detailed robot task planning to ensure its feasibility and optimal performance. In this paper, we deal with the problem of studying kinematic robot performance in the case of such manufacturing tasks, where the robot tool is constrained to follow the machining path embedded on the workpiece surface at a prescribed orientation. The presented approach is based on the well-known concept of manipulability, although the latter suffers from physical inconsistency due to mixing different units of linear and angular velocity in a general 6 DOF task case. Therefore, we introduce the workpiece surface constraint in the robot kinematic analysis, which enables an evaluation of its available velocity capability in a reduced dimension space. Such constrained robot kinematics transform the robot’s task space to a two-dimensional surface tangent plane, and the manipulability analysis may be limited to the space of linear velocity only. Thus, the problem of physical inconsistency is avoided effectively. We show the theoretical derivation of the proposed method, which was verified by numerical experiments.periments.
Ključne besede: robotics, automation, robot machining, workpiece surface polishing, collaborative robot, manipulability, complex surface geometry, motion planning
Objavljeno v DKUM: 25.11.2024; Ogledov: 0; Prenosov: 0 |
4. Implementation of the modern immersive learning model CPLMMatej Veber, Igor Pesek, Boris Aberšek, 2022, izvirni znanstveni članek Opis: The digitalization of industrial processes is being driven forward worldwide. In parallel, the education system must also be transformed. Currently, education does not follow the opportunities and development of technologies. We can ask ourselves how we can integrate technologies into a traditional learning process or how we can adapt the learning process to these technologies. We focused on robotics education in secondary vocational education. The paper contains research results from a modern learning model that addresses student problem-solving using cyber-physical systems. We proposed a reference model for industrial robotics education in the 21st century based on an innovative cyber-physical didactic model (CPLM). We conducted procedure time measurements, questionnaire evaluations, and EEG evaluations. We could use VR to influence the improvement of spatial and visual memory. The more intense representation of the given information influences multiple centers in the brain and, thus, the formation of multiple neural connections. We can influence knowledge, learning more effectively with short-term training in the virtual world than with classical learning methods. From the studied resources, we can conclude that the newer approach to teaching robotics is not yet available in this form. The emerging modern technologies and the possibility of developing training in this area should be investigated further.
Ključne besede: VR technologies, educational robotics, education, innovative learning method development, evaluation
Objavljeno v DKUM: 08.07.2024; Ogledov: 105; Prenosov: 14
 Celotno besedilo (2,43 MB)
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5. Control and robotics remote laboratory for engineering educationRiko Šafarič, Mitja Truntič, Darko Hercog, Gregor Pačnik, 2005, izvirni znanstveni članek Opis: The new tools for education of engineering emerged and one of the most promising is a remote rapid control prototyping (RRCP), which is very useful also for control and robotics development in industry and in education. Examples of introductory remote control and simple robotic. courses with integrated hand, on experiments are presented in the paper. The aim o/: integration of remote hand on experiments into control and/or robotics course is to minimize the gap between the theory and practice to teach students the use of RRCP and to decrease the education costs. Developed RRCP experiments are based on MATLAB/Simulink, xPC target, custom developed embedded target for DSP-2 controller and LabVIEW virtual instrument.
Ključne besede: education of control and robotics, rapid prototyping, remote engineering
Objavljeno v DKUM: 19.07.2017; Ogledov: 1571; Prenosov: 137
Celotno besedilo (1,80 MB)
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