Maze-Solving Robot

Project Overview

An autonomous robot designed to efficiently navigate through complex mazes using advanced algorithms and real-time sensor data. The robot dynamically adjusts its path-finding strategy based on environmental feedback, achieving impressive navigation efficiency compared to traditional approaches.

Key Features

• System Design: Designed and programmed an autonomous robot using Python and MATLAB, integrating multiple sensors for real-time navigation and path correction.
• Advanced Algorithms: Implemented maze-solving algorithms that dynamically adjusted based on sensor input, improving efficiency and reducing navigation errors.
• Team Leadership: Led algorithm development and system integration, achieving a 70% faster maze-solving performance than other groups, finishing weeks ahead of schedule.

Technologies Used

Performance Highlights

The robot achieved 70% faster maze navigation compared to other solutions in its category, with significantly reduced error rates and exceptional path optimization. The project was completed weeks ahead of schedule, demonstrating both technical excellence and efficient project management.