The objective of this project is to design and implement an FPGA-based autonomous MazeSolver Bot (MB) capable of navigating a dynamic warehouse-like maze that simulates a post-harvesting agricultural storage environment. The maze walls resemble stacks of produce sacks and cartons, with layouts that can change to mimic real-world warehouse conditions. Participants are required to build the complete robot from scratch using an FPGA as the core processing unit, designing the system in Verilog HDL. A custom architecture\/algorithm must be implemented on the FPGA to handle sensor data acquisition, motor control, decision-making, and wireless communication in parallel. As the MB navigates the arena, it must solve the maze in real time while adapting to blocked or reconfigured paths. Additionally, the robot measures key microclimate parameters such as temperature, relative humidity, and soil moisture at designated zones within the warehouse.<\/p>\r\n\r\n
The theme focuses on creating an intelligent FPGA-powered robot that can navigate and monitor agricultural storage environments efficiently.<\/p>","theme_learning":"FPGA, C, Verilog, CPU Architecture, Build-a-Bot, Parallel Processing, Serial Communication","cert_level":4}
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