{"id":3429,"date":"2025-12-17T16:44:31","date_gmt":"2025-12-17T15:44:31","guid":{"rendered":"https:\/\/cz.ai-matters.eu\/?p=3429"},"modified":"2025-12-22T13:35:28","modified_gmt":"2025-12-22T12:35:28","slug":"user-story-smaut-technology","status":"publish","type":"post","link":"https:\/\/cz.ai-matters.eu\/en\/user-story-smaut-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\n\n

The Czech Node of AI-MATTERS presents a user story of SMAUT Technology, a company collaborating with the Czech Institute of Informatics, Robotics and Cybernetics at Czech Technical University in Prague (CIIRC CTU). Together, they are advancing autonomous mowing solutions by enhancing navigation, obstacle avoidance, and AI-driven route optimization, delivering safer, smarter, and more efficient operations.<\/h5>\n\n\n\n
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Introduction<\/strong><\/h3>\n\n\n\n

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

Thanks to their collaboration with AI-MATTERS<\/strong>, SMAUT Technology was able to enhance its autonomous mowing systems, improve safety and reliability, and develop AI algorithms that optimize the operation of their robotic fleet. This is their story.<\/p>\n\n\n\n

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\u201cWe build autonomous robotic mowers that work completely on their own \u2014 no operator needed. It\u2019s a technology we have been refining for years, and today, our systems maintain over 80,000 hectares every year, mostly in solar parks. What really sets us apart is how our machines communicate. Operators receive real-time feedback from the field, improving safety and performance,<\/em>\u201d explains Alan Ilczyszyn, CEO of SMAUT Technology<\/strong>.<\/p>\n<\/blockquote>\n<\/blockquote>\n<\/div>\n\n\n\n

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Role of AI or Robotics in Company Operations<\/h3>\n\n\n\n

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

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  • 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 enable dynamic recalculation of the route depending on the current situation on site. <\/li>\n\n\n\n
  • Object and obstacle recognition
    <\/strong>Computer vision (deep learning) detects pedestrians, other vehicles, pallets, signs, or temporary obstacles, minimizing collision risk and increasing safety.<\/li>\n\n\n\n
  • Prediction of behavior of other traffic participants
    <\/strong>Machine learning helps anticipate the movement of people, other machines, or handling equipment, allowing smoother reactions and avoiding sudden stops.<\/li>\n\n\n\n
  • Operational optimization and fleet management
    <\/strong>AI analyzes data from the entire fleet and optimizes deployment\u2014assigning tasks, minimizing downtime, and ensuring smooth material flow. This is crucial when deploying a full fleet of robotic machines.<\/li>\n\n\n\n
  • Predictive maintenance and diagnostics
    <\/strong>Algorithms monitor operational data (battery wear, vibrations, motor temperatures) and predict possible failures, enabling planned maintenance before breakdowns occur.<\/li>\n<\/ul>\n\n\n\n
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