TY - GEN
T1 - Artificial Intelligence in space exploration: improving data analysis and decision-making for planetary missions
AU - Ojo, Olakunle L.
AU - Afolalu, Adeniran S.
AU - Ajiboye, Yinka
AU - Morebise, Ademola T.
AU - Abe, Oladipo E.
AU - Omoyajowo, Ifeoluwa M.
AU - Olumodimu, Olugbenga
AU - Adeyeye, David S.
AU - Agboola, Olugbenga M.
AU - Olawunmi, Oyelami
PY - 2025/3/24
Y1 - 2025/3/24
N2 - Artificial Intelligence (AI) has become a transformative force in space exploration, addressing critical challenges and enhancing mission capabilities. This paper reviews AI applications in planetary missions, focusing on autonomous navigation, data processing, scientific discovery, predictive analytics, and mission planning. AI technologies, particularly machine learning and deep learning, have revolutionized decision-making by enabling autonomous operations. Additionally, emerging AI technologies, such as quantum and neuromorphic computing, offer new possibilities for data processing and decision-making. Despite significant progress, challenges remain, including AI system robustness in harsh space environments, human-AI interaction, and multi-agent coordination. Future research must tackle technical and standardization challenges while addressing ethical concerns to fully realize AI's potential in space exploration.
AB - Artificial Intelligence (AI) has become a transformative force in space exploration, addressing critical challenges and enhancing mission capabilities. This paper reviews AI applications in planetary missions, focusing on autonomous navigation, data processing, scientific discovery, predictive analytics, and mission planning. AI technologies, particularly machine learning and deep learning, have revolutionized decision-making by enabling autonomous operations. Additionally, emerging AI technologies, such as quantum and neuromorphic computing, offer new possibilities for data processing and decision-making. Despite significant progress, challenges remain, including AI system robustness in harsh space environments, human-AI interaction, and multi-agent coordination. Future research must tackle technical and standardization challenges while addressing ethical concerns to fully realize AI's potential in space exploration.
U2 - 10.1109/NIGERCON62786.2024.10927127
DO - 10.1109/NIGERCON62786.2024.10927127
M3 - Conference contribution
SN - 9798331542566
T3 - IEEE NIGERCON Proceedings
BT - 2024 IEEE 5th International Conference on Electro-Computing Technologies for Humanity (NIGERCON)
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2024 IEEE 5th International Conference on Electro-Computing Technologies for Humanity (NIGERCON)
Y2 - 26 November 2024 through 28 November 2024
ER -