http://flames.test.infv.eu/index.php/mendel <p><span style="font-weight: 400;">MENDEL Soft Computing Journal is an international, open-access journal dedicated to the rapid publication of high-quality, peer-reviewed research articles in fields including Evolutionary Computation, Genetic Programming, Swarm Intelligence, Metaheuristics, Machine Learning, Deep Learning, Artificial Neural Networks, Artificial Life, Fuzzy Logic, Chaos Theory, Bayesian Methods, and their relevant applications in various domains such as Optimization, Image Processing, Robotics and Bio-inspired Robotics, Big Data, Cybersecurity, Evolutionary Hardware, Control Design, and Logistics.</span></p> <p><span style="font-weight: 400;">The journal is fully open access, ensuring that all articles are freely available online to all users immediately upon publication (Gold Open Access). It is published in both print and electronic versions, with semi-annual issues released in June and December. Additionally, special issues may be published at the discretion of the Editorial Board.</span></p> <p><span style="font-weight: 400;">The MENDEL Soft Computing Journal is published under the auspices of the Brno University of Technology.</span></p> en-US <p>MENDEL open access articles are normally published under a&nbsp;Creative Commons Attribution-NonCommercial-ShareAlike (CC BY-NC-SA 4.0) <a href="https://creativecommons.org/licenses/by-nc-sa/4.0/" target="_blank" rel="noopener">https://creativecommons.org/licenses/by-nc-sa/4.0/</a>&nbsp;. Under the CC BY-NC-SA 4.0 license permitted 3rd party reuse is only applicable for non-commercial purposes.&nbsp;Articles posted under&nbsp;the CC BY-NC-SA 4.0 license allow users to share, copy, and redistribute the material in any medium of format, and adapt, remix, transform, and build upon the material for any purpose. Reusing under the CC BY-NC-SA 4.0 license requires that appropriate attribution to the source of the material must be included along with a link to the license, with any changes made to the original material indicated.</p> mendel.journal@gmail.com (Radomil Matoušek) rmatousek@vut.cz (Radomil Matoušek) Fri, 20 Dec 2024 00:00:00 +0100 OJS 3.1.1.4 http://blogs.law.harvard.edu/tech/rss 60 http://flames.test.infv.eu/index.php/mendel/article/view/515 <p>This study analyses and simulates a snake robot's locomotion in complex environments, exploring the impact of serpentine gait parameters like magnitude, shape, and curvature on its motion in linear and circular gaits. The research reveals how small errors in the approximation process can accumulate, significantly affecting the robot's path. Ninety-six scenarios are tested to validate the model and demonstrate that CoppeliaSim's simulations closely match Maple's numerical simulations, especially for longer snakes. The study highlights the minimal role of wheel positions in altering the trajectory and underscores the significance of design parameters and friction in the robot's motion. This comprehensive analysis enhances our understanding of snake robot locomotion and informs their development for diverse applications.</p> Mohammed Ali Shehadeh, Radomil Matousek, Tomas Hulka, Tomas Holoubek ##submission.copyrightStatement## http://creativecommons.org/licenses/by-nc-sa/4.0 http://flames.test.infv.eu/index.php/mendel/article/view/515 Fri, 20 Dec 2024 00:00:00 +0100