Building a Standalone AI Assistant for Deep Space Exploration

This paper presents the initial experiences from the design and implementation of an AI visual and voice bot for astronaut assistance in the upcoming Indian Human Space missions. The speech pipeline of the voice bot has speech recognition, text to speech conversion, and an on-device Large Language Model (LLM) based chatbot module. This bot is equipped with a display to render an animated face and play media contents. The voice assistant is specifically designed for interaction in Indic-English and Hindi languages. The voice bot along with its display is packaged to occupy the volume of a football. The high-performance processor used is up-screened for use in space, and is size weight power and cost (swap-c) efficient compared to conventional solutions. The capability to function offline without cloud connectivity and ability to interact verbally and visually with the user makes this AI assistant unique in comparison to its contemporaries.

Authors

Publication Details

Journal
Space Education & Strategic Applications
Published
2025-04-01
DOI
https://doi.org/10.18278/sesa.5.2.7
Primary Topic
Distributed and Parallel Computing Systems
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Building a Standalone AI Assistant for Deep Space Exploration

Lima Agnel Tony, R. Durairaj, Joji J. Chaman, A. Amritha et al.
Space Education & Strategic Applications
Distributed and Parallel Computing Systems
article

Building a Standalone AI Assistant for Deep Space Exploration

Lima Agnel Tony, R. Durairaj, Joji J. Chaman, A. Amritha, E S Padmakumar, Harikumar Ganesan, G. Sangeetha
article en

Abstract

This paper presents the initial experiences from the design and implementation of an AI visual and voice bot for astronaut assistance in the upcoming Indian Human Space missions. The speech pipeline of the voice bot has speech recognition, text to speech conversion, and an on-device Large Language Model (LLM) based chatbot module. This bot is equipped with a display to render an animated face and play media contents. The voice assistant is specifically designed for interaction in Indic-English and Hindi languages. The voice bot along with its display is packaged to occupy the volume of a football. The high-performance processor used is up-screened for use in space, and is size weight power and cost (swap-c) efficient compared to conventional solutions. The capability to function offline without cloud connectivity and ability to interact verbally and visually with the user makes this AI assistant unique in comparison to its contemporaries.

Space Education & Strategic ApplicationsVol. 5(2)
Openalex Percentile: Top 89%
Distributed and Parallel Computing Systems
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.