• Pankaj Chandra Sinha
• Mamta Singh

The exploration of space has always stretched human knowledge and technological capabilities to their limits. In the past few years, artificial intelligence and robotics have taken it to a different level altogether in developing prerequisites for leaps in the unknown. This paper represents the various facets that AI and robotics play in space exploration: from autonomous navigation and decision-making to sophisticated data analysis and environment interfaces. By applying machine learning algorithms, the robotic system can process large amounts of information, find patterns, and make decisions in real-time—without any form of human intervention. Such competencies will be of essence to mission success in far-flung or inhospitable areas of space where the presence of humans either at all or for any extended period is neither practical nor feasible. The paper provides examples of case studies by citing, among others, Mars rovers and satellite constellations, to show how AI-driven robots improve scientific discovery and operational efficiency. In space research, future prospects involving AI and robotics include intelligent habitats, in-situ resource utilization, and deep space missions. This paper makes a review, both in depth and prospective innovation, in such a way as to enable understanding of the transformation of intelligent machines into venturing the cosmos.

Artificial Intelligence, Robotics, Space Exploration, Autonomous Navigation, Machine Learning, Data Analysis, Mars Rovers, Satellite Constellations, Intelligent Habitats, In-situ Resource Utilization, Deep Space Missions.

"AI and Robotics in Space Exploration: Exploring the Unknown with Intelligent Machines", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.6, Issue 11, page no.230-241, November-2019, Available :http://www.jetir.org/papers/JETIR1912274.pdf

"AI and Robotics in Space Exploration: Exploring the Unknown with Intelligent Machines", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.6, Issue 11, page no. pp230-241, November-2019, Available at : http://www.jetir.org/papers/JETIR1912274.pdf