AI-powered Robotic Assistants for In-situ Resource Utilization (ISRU)

Authors

  • Alok Agnihotri, Manoj Kumar Author

DOI:

https://doi.org/10.48047/

Keywords:

AI-driven robotic assistants, In-situ Resource Utilization (ISRU), Autonomous resource extraction, Robotics in extraterrestrial environments, Artificial intelligence applications in space exploration.

Abstract

This studies article explores the integration of artificial intelligence (AI) technology into
robot assistants to beautify In-situ Resource Utilization (ISRU) methods. As humanity looks
toward sustainable exploration and colonization of celestial bodies, the efficient usage of
local assets will become imperative. The have a look at investigates the utility of advanced AI
algorithms to enable robotic assistants in autonomously identifying, extracting, and making
use of sources present in extraterrestrial environments. The synergy among AI and robotics
holds huge promise in addressing the challenges associated with ISRU, along with limited
human intervention and the need for adaptability in unknown terrains. The article discusses
key improvements in system mastering, computer vision, and self-sufficient choice-making
algorithms that empower robot systems to navigate and manage their environment, making
sure highest quality useful resource utilization. By harnessing the abilities of AI-powered
robotic assistants, this research contributes to the development of sustainable and green
techniques for ISRU, paving the way for destiny area exploration and habitation.
Furthermore, the studies delves into the layout and optimization of AI algorithms to permit
actual-time variation to dynamic environmental situations on celestial our bodies, inclusive of
the Moon or Mars. It examines the integration of sensor technologies, such as spectrometers
and imaging gadgets, to facilitate accurate resource identity. The article also discusses the
demanding situations of conversation latency in remote area environments and proposes
innovative solutions to ensure seamless coordination between robotic assistants. By
presenting case research and simulations, this research demonstrates the feasibility and
effectiveness of AI-powered robot assistants in numerous ISRU eventualities. 

Downloads

Download data is not yet available.

Downloads

Published

2021-05-29