DEVELOPMENT OF A CONTROL SYSTEM FOR THE MOVEMENT OF ROBOTIC MACHINES IN URBAN CONDITIONS
Authors:
1.
Voronezh State University of Forestry and Technologies named after G.F. Morozov
Russian Federation
Russian Federation
2.
Voronezh State University of Forestry and Technologies Named after G.F. Morozov
(Department of Automation of Production Processes, assistant professor)
Type:
Сonference article
Published:
25.06.2025
Subject area:
681.5
Language:
Russian
Keywords:
robotic snow removal machine, autonomous navigation, obstacle detection, route planning, machine learning, control algorithms, snow removal equipment, auto-mation of snow removal
Abstract (English):
The article discusses the operating principles and control algorithms of robotic snow removal machines. The main subsystems are described, including the navigation system, obstacle detection system, route planning system and actuators. Particular attention is paid to the algorithms used to determine the boundaries of the area to be processed, route optimization taking into account the terrain and current state of the snow cover, as well as adaptation to changing weather conditions. Machine learning methods used to improve the efficiency and safety of autonomous snow removal machines are presented. Prospects for the development and implementation of this technology in various fields are discussed.
The article discusses the operating principles and control algorithms of robotic snow removal machines. The main subsystems are described, including the navigation system, obstacle detection system, route planning system and actuators. Particular attention is paid to the algorithms used to determine the boundaries of the area to be processed, route optimization taking into account the terrain and current state of the snow cover, as well as adaptation to changing weather conditions. Machine learning methods used to improve the efficiency and safety of autonomous snow removal machines are presented. Prospects for the development and implementation of this technology in various fields are discussed.
Keywords:
robotic snow removal machine, autonomous navigation, obstacle detection, route planning, machine learning, control algorithms, snow removal equipment, auto-mation of snow removal
robotic snow removal machine, autonomous navigation, obstacle detection, route planning, machine learning, control algorithms, snow removal equipment, auto-mation of snow removal
1. Hi-News.ru – Sozdan robot dlya avtomaticheskoy ochistki snega na bol'shih territoriyah. – URL: https://hi-news.ru/technology/sozdan-robot-dlya-avtomaticheskoj-ochistki-snega-na-bolshix-territoriyax.html?ysclid=m8ww2gitvd548624465 (data obrascheniya: 31.03.2025).
2. Mir robototehniki. – URL: https://roboticsworld.ru/news/top-5-trendov-robototekhniki-2025-goda/(data obrascheniya: 31.03.2025).
3. EnergoTehInnovacii. – URL: https://zoomlion-maz.by/obzory-novejshej-spectehniki/bespilotnaja-spectehnika-v-stroitelstve-budushhee-uzhe-zdes/ (data obrascheniya: 31.03.2025).
