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ArticlePeer ReviewedOpen AccessPlagiarism Passed
Paper ID:IJSREM60690

OMNI (Optimized Machine for Navigation & Interaction)

Stream/Area:

-

Subject:

-

Paper ID:

IJSREM60690

Volume:

10 |

4 |

April 2026

Pages:

Publication Frequency:

Monthly (12 issues per year)

DOI
Digital Object Identifier
10.55041/ijsrem60690

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

I

Interaction)

CN

Chaitanya Nagapure

KA

Karan Ambule

LN

Lucky Nikule

PJ

Pavankumar Jinka

CU

Chaitanya Ukey

JA

Jayshree Arvikar

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Abstract

This paper presents OMNI (Optimized Machine for Navigation and Interaction), a fully offline, affordable, and intelligent home assistant robot designed to assist elderly individuals and children through natural voice interaction, autonomous navigation, face recognition, and smart home automation. Traditional home environments lack intelligent robotic systems capable of providing genuine companionship, physical assistance, and home device control in a unified offline platform. OMNI addresses this gap using a dual-processor architecture combining a Raspberry Pi 3B as the primary AI brain and an ESP32 microcontroller as the real-time body controller. The four-wheeled differential drive chassis is powered by 100RPM geared DC motors controlled through an L298N

KEYWORDS

OMNI Home Assistant Robot Raspberry Pi ESP32 Autonomous Navigation Offline AI Speech Recognition Face Recognition Natural Language Processing Large Language Model Human-Robot Interaction Home Automation Obstacle Avoidance Edge AI OpenCV Whisper STT Piper TTS MQTT Socially Assistive Robotics Differential Drive

Cite This Article

Interaction), Chaitanya Nagapure, Karan Ambule, Lucky Nikule, Pavankumar Jinka, Chaitanya Ukey, Jayshree Arvikar, "OMNI (Optimized Machine for Navigation & Interaction)," International Journal of Scientific Research in Engineering and Management, vol. 10, no. 4, April 2026. https://doi.org/10.55041/ijsrem60690

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Publication Date

4/23/2026

Peer Review Type

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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