Artificial Intelligence for Space Traffic Management: Challenges and Opportunities

EasyChair Preprint no. 11830

Abstract

The increasing number of satellites and space debris in Earth's orbit poses significant challenges to space traffic management. Artificial Intelligence (AI) has emerged as a potential solution to address these challenges by enabling automated decision-making, collision avoidance, and efficient orbital maneuver planning. This research paper examines the challenges associated with space traffic management and explores the opportunities and applications of AI in mitigating these challenges. Through a comprehensive analysis, this paper highlights the potential benefits, limitations, and future directions of AI in space traffic management.

Keyphrases: Artificial Intelligence, Automation, collision avoidance, Orbital maneuver planning, Space Traffic Management

@Booklet{EasyChair:11830,
  author = {Asad Ali and Ansar Sharif},
  title = {Artificial Intelligence for Space Traffic Management: Challenges and Opportunities},
  howpublished = {EasyChair Preprint no. 11830},

  year = {EasyChair, 2024}}