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ArticlePeer ReviewedOpen AccessPlagiarism Passed
Paper ID:IJSREM63246

College Introduction Robot

Stream/Area:

-

Subject:

-

Paper ID:

IJSREM63246

Volume:

10 |

5 |

May 2026

Pages:

1-9

Publication Frequency:

Monthly (12 issues per year)

DOI
Digital Object Identifier
10.55041/IJSREM63246

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

Veda M C

Veda M C

Electronics and communication Engineering

Sri Siddhartha Institute of Technology

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Ujwala

Ujwala

Electronics and communication Engineering

Sri Siddhartha Institute of Technology

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Akshaya K S

Akshaya K S

Electronics and communication Engineering

Sri Siddhartha Institute of Technology

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Shashank Aradhya K G

Shashank Aradhya K G

Electronics and communication Engineering

Sri Siddhartha Institute of Technology

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CRMK

C R Mohan Kumar

Electronics and communication Engineering

Sri Siddhartha Institute of Technology

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Mentors

Simha D K L N

Simha D K L N

Electronics and communication Engineering

Sri Siddhartha Institute of Technology

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Abstract

College Introduction Robot is an innovative project that combines robotics, communications technology, and visual interaction. This Paper Presents the design and development of College Introduction Robot, a semi autonomous interactive system created to improve visitor engagement within educational institutions. Conventional campus guidance methods such as brochures, notice boards, and staff-led tours often suffer from limited availability, inconsistence explanations, and low interactivity. To address these challenges, the proposed robot delivers reliable campus information through voice-based communication, expressive visual feedback, and guided mobility. This system integrates Raspberry Pi 4 for high level processing and Arduino Mega for real time hardware control. Ultrasonic sensors support obstacle detection and safe navigation, while DC gear motors and motor drivers enable movement across campus environments. Voice recognition and question-answering functions allow the robot to respond naturally to visitor queries related to departments, facilities, admissions, and academic programs. OLED eye animations, TFT display messages, and handshake interaction using servo motors further enhance user engagement by creating a friendly and human-like communication experience. As a result, the system not only improves institutional presentation but also modernizes campus outreach by offering prospective students, parents, and academic visitors an engaging introduction to the college environment. An intelligent socially interactive campus robot enhances visitors engagement through autonomous guidance, responsive communication, and smart institutional assistance

KEYWORDS

Index Terms – Arduino Mega Embedded Systems Human-Robot Interaction Interactive Robotics Raspberry Pi Voice Based Communication.

Cite This Article

Veda M C, Ujwala, Akshaya K S, Shashank Aradhya K G, C R Mohan Kumar, Simha D K L N, "College Introduction Robot," International Journal of Scientific Research in Engineering and Management, vol. 10, no. 5, pp. 1-9, May 2026. https://doi.org/10.55041/IJSREM63246

Full Article/Conclusion

The College Introduction Robot represents a meaningful step forward in how educational institutions can reimagine their approach to visitor engagement and campus guidance. What began as an effort to address the everyday limitations of manual guidance methods evolved into a fully functional, interactive and autonomous robotic system that brings together multiple technologies under a single cohesive platform. Throughout the course of this work, it became evident that the real challenge was not just building a robot that could move or speak, but creating one that could genuinely connect with people. Achieving that required careful thought about every layer of interaction, from the way the robot greets a visitor with a handshake, to the way its eyes animate during a conversation, to the clarity and accuracy of the spoken responses it delivers. Each of these elements was designed not for technical novelty alone, but because they collectively shape how a visitor feels during the interaction. Looking ahead, there remains considerable room for growth. Integrating multi- language support would allow the robot to communicate with a far wider and more diverse range of visitors. Adding facial recognition capabilities would enable personalized greetings and tailored responses based on returning visitors. Connecting the system to cloud-based platforms would allow real-time updates to the knowledge base without requiring any manual reprogramming. Each of these enhancements would bring the robot closer to functioning as a truly intelligent and adaptive campus companion. In conclusion, the College Introduction Robot successfully full fills its purpose of delivering consistent, engaging and technology-driven visitor guidance. It stands as a practical demonstration of how thoughtfully integrated systems can solve real institutional challenges while simultaneously leaving a lasting and positive impression on every person who interacts with it.  

References

1.         Banerjee, Mr Sujan, et al. "AI-POWERED TALKING        ROBOT            WITH        VISUAL DISPLAY." International            Journal            of Communication 1.2 (2025). 2.       Zhang, Ying, et al. "Environment modeling for service robots from a task execution perspective." IEEE/CAA Journal of Automatica Sinica 12.10 (2025). 3.        Van Scoy, Bryan, Peter Jamieson, and Veena Chidurala. "On First-Principle Robot Building in Undergraduate Robotics Education in the Robotic System Levels Model." Robotics 14.6 (2025). 4.      Chen, Xieling, et al. "Artificial intelligent robots for precision education." Educational Technology & Society 26.1 (2023). 5.       Prasad, Vignesh, Ruth Stock-Homburg, and Jan Peters.  "Human-robot  handshaking:  A review." International Journal of Social Robotics 14.1 (2022). 6.     Nguyen, Mui D., and Thuong TK Nguyen. "Solutions to Improve Indoor Positioning Accuracy supporting Autonomous Mobile Robots." Journal of Future Artificial Intelligence and Technologies 2.1 (2025). 7.     Cabibihan, John-John, et al. "Guidelines for robot-to- human handshake from the movement nuances in human-to-human handshake." Frontiers in Robotics and AI 9 (2022). 8.     Budiharto, Widodo, Vincent Andreas, and Alexander Agung Santoso Gunawan. "Deep learning-based question answering system for intelligent humanoid robot." Journal of Big Data 7.1 (2020). 9.     Oltean, Stelian-Emilian. "Mobile robot platform with arduino uno and raspberry pi for autonomous navigation." Procedia Manufacturing 32 (2019). 10.        Sali, Sharanabasappa, et al. "Voice activated multipurpose robot." Int. J. Adv. Eng. Technol. Manage. Appl. Sci 3 (2016).

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Publication Date

5/15/2026

Peer Review Type

Double-Blind Peer Review

Review Rounds: 2

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