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© 2026 IJSREM – International Journal of Scientific Research in Engineering and Management. This is an open-access journal. Articles are published under the Creative Commons Attribution (CC BY 4.0) License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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ArticlePeer ReviewedOpen AccessPlagiarism Passed
Paper ID:IJSREM65403

SMART FOOD SERVING ROBOT USING PID CONTROLLED LINE FOLLOWING AND OBSTACLE DETECTION

Stream/Area:

-

Subject:

-

Paper ID:

IJSREM65403

Volume:

10 |

6 |

Jun 2026

Pages:

1-11

Publication Frequency:

Monthly (12 issues per year)

DOI
Digital Object Identifier
10.55041/IJSREM65403

License:International Journal of Scientific Research in Engineering and Management follows the Creative Commons Attribution 4.0 (CC BY 4.0) License, allowing free use and distribution with proper attribution.

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Authors

SP

Sanskruti Pande

Electronics and Telecommunication Engineering

Sinhgad College of Engineering

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SC

Sonal Chaudhari

Electronics and Telecommunication Engineering

Sinhgad College of Engineering

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SA

Siddhi Auti

Electronics and Telecommunication Engineering

Sinhgad College of Engineering

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Mentors

P

Prof.M.H.GHUGE

Electronics and Telecommunication Engineering

Sinhgad College of Engineering

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Abstract

Automation has emerged as a key technology in modern service industries, enabling improved efficiency, reduced operational costs, and enhanced customer satisfaction. This paper presents the design and development of a Smart Food Serving Robot based on PID-controlled line following and ultrasonic obstacle detection. The robot is designed to autonomously transport food trays along predefined indoor routes in restaurants, hospitals, cafeterias, and hotels. The system employs three infrared sensors to detect and track a black path on a white surface, while an ATmega328P microcontroller processes sensor inputs and executes a PID control algorithm to maintain accurate navigation. Four DC geared motors driven through an L298N motor driver provide smooth and stable movement. An HC-SR04 ultrasonic sensor is integrated to continuously monitor obstacles in the robots path and automatically halt operation whenever an obstruction is detected, thereby ensuring safe navigation. The implementation of PID control significantly reduces tracking errors, oscillations, and path deviations compared to conventional line-following techniques. Experimental results demonstrate reliable line-tracking performance, effective obstacle avoidance, low power consumption, and stable operation under varying load conditions. The proposed system provides a cost-effective and practical solution for indoor service automation and highlights the potential of embedded systems and robotics in transforming hospitality and healthcare services.

KEYWORDS

Smart Food Serving Robot PID Controller Line Following Robot ATmega328P Obstacle Detection Embedded Systems Automation.

Cite This Article

Sanskruti Pande, Sonal Chaudhari, Siddhi Auti, Prof.M.H.GHUGE, "SMART FOOD SERVING ROBOT USING PID CONTROLLED LINE FOLLOWING AND OBSTACLE DETECTION," International Journal of Scientific Research in Engineering and Management, vol. 10, no. 6, pp. 1-11, Jun 2026. https://doi.org/10.55041/IJSREM65403

Full Article/Conclusion

The Smart Food Serving Robot using PID-controlled line following and ultrasonic obstacle detection was successfully designed, developed, and tested. The system integrates three infrared sensors, an ATmega328P microcontroller, an HC-SR04 ultrasonic sensor, and an L298N motor driver to achieve autonomous navigation and safe food delivery. The implementation of a PID controller significantly improved line-following accuracy by minimizing tracking errors and reducing oscillations during movement. Experimental results demonstrated reliable path tracking, smooth motor control, effective obstacle detection, and stable operation under different test conditions. The developed robot provides a low-cost and efficient automation solution for restaurants, hospitals, cafeterias, hotels, and other indoor service environments. By reducing human effort and improving service efficiency, the proposed system contributes to the growing field of service robotics and intelligent automation. Although the developed prototype successfully meets the project objectives, several enhancements can be incorporated in future versions. Wireless table selection through a mobile application can provide greater flexibility and ease of operation. Integration of Internet of Things (IoT) technology can enable real-time monitoring and remote control of the robot. Machine vision and artificial intelligence algorithms can be incorporated to facilitate dynamic path planning, object recognition, and autonomous decisionmaking. Voice-command functionality may further improve user interaction, while automatic docking and battery charging systems can increase operational efficiency. These advancements would make the robot more intelligent, adaptable, and suitable for deployment in large-scale commercial environments. The overall results demonstrate that the proposed Smart Food Serving Robot is a practical, reliable, and economical solution for modern service automation applications.

References

[1]             M. K. Srilekha, S. Kumar V. R., U. S., and S. Kumar S., "Smart Solutions for Automated Restaurant Service with Machine Learning," in Proc. Int. Conf. Data Intelligence and Cognitive Informatics (ICDICI), 2024. [2]             A. Gautam and L. Bhaskar, "Patient Monitoring, Food and Medicine Serving with Environmental Sanitizing Robot," in Proc. Recent Developments in Control, Automation and Power Engineering (RDCAPE), 2021. [3]             S. Chavan, A. Patil, P. Jadhav, and R. Kulkarni, "Next Generation Electronic Waiter: Wireless Menu Ordering and Serving Robot," in Proc. Int. Conf. Electronics, Computing and Communication Technologies (ICECAA), 2023. [4]             Microchip Technology Inc., ATmega328P Datasheet, Chandler, AZ, USA, 2023. [5]             STMicroelectronics, L298N Dual Full-Bridge Driver Datasheet, Geneva, Switzer- land, 2021. [6]             Elecfreaks Co., Ltd., HC-SR04 Ultrasonic Sensor Datasheet, Shenzhen, China, 2022. [7]             K. Ogata, Modern Control Engineering, 5th ed. Upper Saddle River, NJ, USA: Prentice Hall, 2010. [8]             R. C. Dorf and R. H. Bishop, Modern Control Systems, 13th ed. Boston, MA, USA: Pearson Education, 2017. [9]             S. B. Niku, Introduction to Robotics: Analysis, Control, Applications, 3rd ed. Hoboken, NJ, USA: Wiley, 2020. [10]          B. Siciliano and O. Khatib, Eds., Springer Handbook of Robotics, 2nd ed. Cham, Switzerland: Springer, 2016. [11]          Arduino, "Arduino Documentation," Available: https://www.arduino.cc/, Accessed: May 2026.

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Publication Date

6/24/2026

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Double-Blind Peer Review

Review Rounds: 2

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