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ISSN Approved Journal No: 2320-2882 | Impact factor: 7.97 | ESTD Year: 2013
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Published Paper Details:
Paper Title
AI-BASED SPACE DEBRIS TRACKING AND REMOVAL
Authors
Sahil ingale, Dr. A. P. Jadhao, Dr. D. S. Kalyankar, Prof. D. G. Ingale, Prof. S. V. Raut
Keywords
Artificial Intelligence (AI),Machine Learning (ML),Deep Learning (DL),Reinforcement Learning (RL),Satellite Collision Avoidance System (AISCAS),Space Situational Awareness (SSA), Conjunction Analysis, Orbit Prediction, Trajectory Forecasting, Autonomous Decision Making, Real-Time Detection, Predictive Modeling, Maneuver Planning, Space Debris Mitigation, Orbital Safety, Low Earth Orbit (LEO),Medium Earth Orbit (MEO),Kessler Syndrome, Space Traffic Management, Satellite Autonomy, Data Fusion, O
Abstract
The proliferation of space debris in low Earth orbit (LEO) poses a significant threat to operational satellites, space missions, and the sustainability of space exploration. This paper proposes an innovative artificial intelligence (AI)-based framework for tracking and removing space debris. By leveraging machine learning algorithms for real-time debris detection and predictive orbital modeling, coupled with autonomous robotic systems for debris capture, the proposed system aims to enhance the efficiency and safety of space operations. Simulated results demonstrate a 92% accuracy in debris identification and a 78% success rate in debris removal operations, highlighting the potential of AI-driven solutions to address the growing challenge of orbital debris.
IJCRT's Publication Details
Unique Identification Number - IJCRT2510325
Paper ID - 295122
Page Number(s) - c725-c731
Pubished in - Volume 13 | Issue 10 | October 2025
DOI (Digital Object Identifier) -
Publisher Name - IJCRT | www.ijcrt.org | ISSN : 2320-2882
E-ISSN Number - 2320-2882
Cite this article
Sahil ingale, Dr. A. P. Jadhao, Dr. D. S. Kalyankar, Prof. D. G. Ingale, Prof. S. V. Raut, "AI-BASED SPACE DEBRIS TRACKING AND REMOVAL", International Journal of Creative Research Thoughts (IJCRT), ISSN:2320-2882, Volume.13, Issue 10, pp.c725-c731, October 2025, Available at :http://www.ijcrt.org/papers/IJCRT2510325.pdf
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Volume 14 | Issue 2
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ISSN: 2320-2882 Impact Factor: 7.97 and ISSN APPROVED Journal Starting Year (ESTD) : 2013
ISSN and 7.97 Impact Factor Details
ISSN: 2320-2882 Impact Factor: 7.97 and ISSN APPROVED Journal Starting Year (ESTD) : 2013
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