LawnBot: Affordable Autonomous Lawnmower

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The concept of Autonomous Vehicle have spiked proportionally to the investments of Artificial Intelligence and Machine Learning training with real-world data sets. A great example of this approach is implementing it to a lawnmower, allowing a time-free schedule for consumers. Today’s products are trustworthy, but a burdened due to their high starting investment, unexpected costs of maintenance, and unexpected reaction varying the terrain. We aim to minimize the mentioned cons while maximizing the performance with less exposure of software techniques and more emphasis with its design. The term ”autonomous” is performing an action with a small to no exposure of human aid. Many of our project’s competitors use this practice optimally. We wanted to replicate these approaches to know how far we can reach autonomy with a tighter budget. Realizing our microcontroller’s performance, it could not handle most pathing algorithm let alone being compatible with it. We decided to make our project mimic the user’s input, using it as output to clone a human-free interference behavior.

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UB Rise 2025 School of Engineering Department of Computer Science

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