{"id":4785,"date":"2025-12-18T10:50:01","date_gmt":"2025-12-18T09:50:01","guid":{"rendered":"https:\/\/cz.ai-matters.eu\/user-storysmaut-technology\/"},"modified":"2026-05-21T18:11:57","modified_gmt":"2026-05-21T16:11:57","slug":"user-storysmaut-technology","status":"publish","type":"post","link":"https:\/\/cz.ai-matters.eu\/en\/user-storysmaut-technology\/","title":{"rendered":"User Story:SMAUT Technology"},"content":{"rendered":"\n

Driving innovation with AI: How SMAUT technology is transforming autonomous mowing with AI-MATTERS<\/h2>\n\n

The Czech office of AI-MATTERS presents the user story of SMAUT Technology, a company that collaborates with the Czech Institute of Informatics, Robotics and Cybernetics of the Czech Technical University in Prague (CIIRC CTU). Together, they are pushing autonomous mowing solutions forward by improving navigation, obstacle avoidance and AI-driven route optimization, delivering safer, smarter and more efficient operations. <\/h5>\n\n
<\/div>\n\n
\"\"<\/figure>\n\n
<\/div>\n\n

Home<\/strong><\/h3>\n\n

SMAUT Technology<\/a> is a reliable partner in the development, production and service of autonomous mowing solutions. The company specializes in advanced, fully autonomous industrial mowing robots designed for demanding environments such as solar parks, airports and large industrial sites.By combining cutting-edge hardware with intelligent software, SMAUT Technology enables operators to achieve higher productivity, reduce operating costs and improve safety standards. <\/p>\n\n

By working with the AI-MATTERS initiative, SMAUT Technology has been able to further improve its autonomous mowing systems, increase their safety and reliability, and develop artificial intelligence algorithms that optimise the operation of the entire fleet of robots. This is their story. <\/p>\n\n

<\/div>\n\n
\n
\n
\n

“We develop autonomous robotic mowers that work completely independently, without an operator. We have been perfecting this technology for many years and today our systems take care of more than 80,000 hectares a year, mostly in solar parks.What really sets us apart is how our machines communicate. Operators receive real-time feedback from the field, which helps improve safety and performance. <\/em>” explains Alan Ilczyszyn, CEO of SMAUT Technology<\/strong>.<\/p>\n<\/blockquote>\n<\/div>\n\n\n\n

\n
\"\"<\/figure>\n<\/div>\n<\/div>\n\n
<\/div>\n\n

The role of artificial intelligence and robotics in company operations<\/h3>\n\n

Artificial intelligence functions and algorithms are a key component of autonomous operation and provide the following capabilities:<\/p>\n\n

    \n
  • Navigation and Route Planning <\/strong>AI\/ML algorithms process sensor data (LiDAR, cameras, GPS, radar) and learn to optimally plan routes even in environments with moving obstacles. They allow dynamic route recalculation according to the current situation on the ground. <\/li>\n\n\n\n
  • Object and Obstacle Detection <\/strong>Computer vision (deep learning) detects pedestrians, other vehicles, pallets, signs or temporary obstacles to minimise the risk of collisions and improve safety.<\/li>\n\n\n\n
  • Predicting the behaviour of other road users <\/strong>Machine learning helps predict the movement of people, other machines or handling equipment, allowing smoother reactions and preventing sudden stops.<\/li>\n\n\n\n
  • Operations Optimization and Fleet Management <\/strong>AI analyzes data from across the fleet and optimizes deployment – assigning tasks, minimizing downtime and ensuring a smooth flow of material. This is essential when deploying an entire fleet of robotic machines. <\/li>\n\n\n\n
  • Predictive Maintenance and Diagnostics <\/strong>Algorithms monitor operational data (battery wear, vibration, engine temperatures) and predict potential faults, allowing planned maintenance before faults occur.<\/li>\n<\/ul>\n\n
    <\/div>\n\n

    <\/p>\n\n