http://46.28.109.63/index.php/mendel/issue/feed 2025-11-12T21:56:11+01:00 Radomil Matoušek mendel.journal@gmail.com Open Journal Systems <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> http://46.28.109.63/index.php/mendel/article/view/515 2025-11-12T21:56:11+01:00 Mohammed Ali Shehadeh Mhd.Ali.Shehadeh@vutbr.cz Radomil Matousek RMatousek@vutbr.cz Tomas Hulka Tomas.Hulka@vutbr.cz Tomas Holoubek holoubek@fme.vutbr.cz

<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>

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