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@article{198596,
        author = {prof Rekha sonune and nikhil mokale and yashpatil and shivam jaiswal and sairaj tatkare},
        title = {slam using esp32 cam},
        journal = {International Journal of Innovative Research in Technology},
        year = {2026},
        volume = {12},
        number = {11},
        pages = {11610-11614},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=198596},
        abstract = {This paper presents the design and development of a low-cost Simultaneous Localization and Mapping (SLAM) robot using LiDAR simulation and embedded hardware implementation. The proposed system combines MATLAB-based simulation for environment mapping with a practical prototype built using an ESP32 microcontroller, gyroscope sensor, and motor driver. The simulation phase focuses on accurate mapping and localization using LiDAR data, while the hardware implementation aims to achieve cost-effective real-time navigation. The integration of sensor data allows the robot to estimate its position and generate a map of unknown environments. The proposed approach reduces system cost while maintaining acceptable performance for indoor navigation applications. Experimental and simulation results demonstrate the effectiveness of the system in terms of mapping accuracy and stability. This work provides a foundation for developing affordable SLAM-based robotic systems for educational and practical applications.},
        keywords = {},
        month = {April},
        }