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ArticlePeer ReviewedOpen AccessPlagiarism Passed
Paper ID:IJSREM54954

Artificially Unified Reception Assistant Using Raspberry PI

Stream/Area:

-

Subject:

-

Paper ID:

IJSREM54954

Volume:

9 |

12 |

Dec 2025

Pages:

Publication Frequency:

Monthly (12 issues per year)

DOI
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10.55041/IJSREM54954

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

DAN

Dr. Anitha N¹*

MST

Manoj S T¹

MKN

Maithri K N¹

MAS

Mownika A S¹

PPA

Padmashri Praveen Aralikatti

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Abstract

Humanoid robots are becoming increasingly popular in campuses and the hospitality industry due to their ability to interact naturally with people and perform automated tasks. A humanoid robot on campus welcomes visitors with gestures like ‘Namaste’ and provides essential information, showcasing advances in robotics education and development since the department of automation and robotics was established in 2009. In hospitality, robots and AI-based chatbots improve customer service by offering 24/7 assistance, speeding up processes like check-in, and reducing human workload. To create a cost-effective solution, a Raspberry Pi–based humanoid robot is being developed with dual-hand motion, autonomous navigation, obstacle avoidance, and voice interaction. Ongoing work focuses on adding learning capabilities and coordinating vision with hand movements. Research in humanoid robotics continues to grow because these robots must navigate human environments safely, adapt to user behaviour, and balance like humans, making them valuable for personal and assistive applications while also helping scientists understand human-like information processing.

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Cite This Article

Dr. Anitha N¹*, Manoj S T¹, Maithri K N¹, Mownika A S¹, Padmashri Praveen Aralikatti, "Artificially Unified Reception Assistant Using Raspberry PI," International Journal of Scientific Research in Engineering and Management, vol. 9, no. 12, Dec 2025. https://doi.org/10.55041/IJSREM54954

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Publication Date

8/11/2025

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Double-Blind Peer Review

Review Rounds: 2

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The authors declare no conflict of interest related to this research work.

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