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ArticlePeer ReviewedOpen AccessPlagiarism Passed
Paper ID:IJSREM55088

A Smart Human Following AI Assistant for Conversation and Mobility

Stream/Area:

-

Subject:

-

Paper ID:

IJSREM55088

Volume:

9 |

12 |

Dec 2025

Pages:

Publication Frequency:

Monthly (12 issues per year)

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Not assigned

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

AGB

Anusha G B1

JMV

Janani M V2

KV

Kiran V3

MSH

Meghana Shambhulingayya Hiremath4

DSGH

Dr.Prof S G Hiremath5

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Abstract

This project presents the development of a Smart Human-Following AI Assistant designed to enhance human interaction and mobility support. The system integrates artificial intelligence, computer vision, and robotic mobility to create an autonomous assistant capable of following a designated individual, understanding voice commands, and engaging in natural language conversation. Utilizing sensors such as cameras or ultrasonic modules, the assistant accurately tracks human movement while avoiding obstacles in real-time. The conversational interface is powered by an embedded AI model or cloud-based NLP system, enabling the assistant to understand and respond contextually to spoken commands or queries. This innovation can be applied in environments such as hospitals, airports, shopping malls, or homes, particularly benefiting the elderly and differently- abled individuals. The project demonstrates a step forward in intelligent robotics, combining mobility and communication to offer seamless human-robot interaction.

KEYWORDS

Human-Following Robot Conversational AI Mobility Assistance Embedded AI

Cite This Article

Anusha G B1, Janani M V2, Kiran V3, Meghana Shambhulingayya Hiremath4, Dr.Prof S G Hiremath5, "A Smart Human Following AI Assistant for Conversation and Mobility," International Journal of Scientific Research in Engineering and Management, vol. 9, no. 12, Dec 2025.

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Publication Date

10/11/2025

Peer Review Type

Double-Blind Peer Review

Review Rounds: 2

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2

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5

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

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