Modern robotic lawn mowers are mostly designed for mowing simple, flat surfaces; however, when used on more challenging terrains, such as slopes, uneven ground, or difficult-to-access areas, they often encounter various challenges. Developing robotic mowers for such conditions represents a significant challenge, as it requires advanced integration of sensing technologies, adaptive navigation, and a high level of safety.
This thesis focuses on the modification of a Slovenian manufacturer’s remote-controlled lawn mower into an autonomous mowing system. The work begins with an overview of the existing prototype, which serves as the foundation for further development. The core of the thesis addresses the analysis of safety standards, primarily IEC 60335-2-107:2017, from which the requirements for the safe design of the blade housing, the battery system, and the electrical wiring are derived.
The study then examines the sensor systems and their role in ensuring safe operation. Special attention is given to the activation conditions of individual sensors and their control logic. In addition to manual control, the concept of autonomous guidance is explored, including mowing path planning and obstacle detection.
The final part presents a comparative analysis of existing robotic lawn mowers on the market, providing valuable insights for further development. Based on the findings, a conceptual design of a laboratory prototype for autonomous mowing is proposed, along with possible upgrades to the base model to enhance the safety of manual operation.
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