Exploration Beyond Boundaries: AI-Based Advancements in Rover Robotics for Lunar Missions Space Like Chandrayaan


  • R. Josphineleela Professor, Department of computer science and Engineering Panimalar engineering college
  • Periasamy S. Associate Professor,Department of CSE (ET), Hyderabad Institute of Technology and Management, Medchal District Hyderabad, India-501 401
  • N. Krishnaveni Assistant Professor, Computer Science and Engineering Vel Tech Rangarajan Dr. Sagunthala R & D Institute of Science & Technology, Chennai
  • D. Shyam Prasad Sr.Asst. Prof.Dept. of EIE,CVR COLLEGE OF ENGINEERING, HYDERABAD
  • B. Varaprasad Rao Professor, Department of Computer Science and Engineering, RVR&JC College of Engineering, Guntur, AP
  • Machchhindra Jibhau Garde Assistant Professor, SSVPS B.S.Deore college of Engineering Dhule
  • Santosh Gore Director, Sai Info Solution, Nashik, Maharashtra, India,


Artificial Intelligence Integration, Rover Robotics Advancements, Lunar Missions Transformation


The combination of artificial intelligence (AI) with rover robots has heralded a new age in space exploration, with lunar missions at the vanguard of this transformation. This study goes into the field of AI-driven breakthroughs in rover robots, with an emphasis on the pioneering contributions of space initiatives like as Chandrayaan. This study reveals the tremendous influence of AI on redefining the limitations and efficacy of lunar missions by investigating AI's effects on autonomy, decision-making, navigation precision, and scientific inquiry. In summary, this study emphasizes AI's critical role in driving lunar exploration into unexplored territory. The study digs into the complex interaction between AI algorithms and rover robotics, exposing how AI provides rovers with unprecedented autonomy and cognitive capacities. The AI-enabled transition from programmed pathways to adaptive decision-making has transformed how lunar rovers move and interact with the lunar terrain. Furthermore, the paper emphasizes AI's critical role in overcoming the inherent difficulties of lunar navigation. Rovers build real-time, detailed maps of the lunar landscape using AI-powered navigation techniques such as simultaneous localization and mapping (SLAM). This improved mapping improves navigation accuracy, allowing rovers to explore difficult terrains more efficiently and safely. One of the most dramatic effects of artificial intelligence in lunar missions has been its revolutionary influence on scientific investigation. Rovers outfitted with artificial intelligence independently discover and rank scientifically relevant targets for in-depth research.


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How to Cite

Josphineleela, R. ., S., P. ., Krishnaveni, N. ., Prasad, D. S. ., Rao, B. V. ., Jibhau Garde, M. ., & Gore, S. . (2023). Exploration Beyond Boundaries: AI-Based Advancements in Rover Robotics for Lunar Missions Space Like Chandrayaan. International Journal of Intelligent Systems and Applications in Engineering, 11(10s), 640–648. Retrieved from https://ijisae.org/index.php/IJISAE/article/view/3318



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