Authors: Harshit Raj, Dr. Smriti Kaur
Abstract: Maze-solving robots represent a vital intersection of robotics, embedded systems, and automation. These autonomous robotic systems are designed to navigate unknown environments by detecting paths, avoiding walls, and making directional decisions without human intervention. The objective of a simple maze solver robot is to provide a cost-effective and educational solution using readily available components such as infrared sensors, microcontrollers, and basic logic algorithms. Such robots can be valuable learning tools in academic institutions and workshops focused on robotics and embedded system design. The core functioning is rooted in path detection via sensor feedback, decision-making algorithms, and real-time adjustments of motor actions. This paper introduces the essential hardware and software components used in the construction of a basic maze solver robot, details the design approach, and outlines the algorithmic steps for navigating mazes using the left-hand or right-hand rule. The introduction and design aspects are discussed in detail, laying the foundation for further understanding of the methodology, future improvements, and real-world applications in the following sections.
Keywords: Maze Solver Robot, Autonomous Navigation, Embedded Systems, IR Sensors, Left-Hand Rule, Right-Hand Rule, Robotics Education
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