Designing AI-Driven Mechanisms for Autonomous Spacecraft in Near-Earth Space Exploration Missions

1. Introduction 1.1 Background and Context 1.2 Objectives and Scope 1.3 Methodology Overview 1.4 Structure of the Thesis 2. Fundamentals of AI in Space Exploration 2.1 Definition and Importance 2.2 Historical Developments 2.3 Current State of Research 3. Autonomous Spacecraft Design Principles 3.1 Key Design Considerations 3.2 Challenges in Designing Autonomous Systems 3.3 Integration with AI Technologies 4. Mechanisms for Near-Earth Missions 4.1 Mission Objectives and Requirements 4.2 Technological Capabilities 4.3 Limitations and Constraints 5. AI-Driven Navigation Systems 5.1 Algorithms in Autonomous Navigation 5.2 Machine Learning Applications 5.3 Case Studies of Effectiveness 6. AI in Communication and Data Processing 6.1 Enhancing Communication Efficiencies 6.2 Real-time Data Processing Mechanisms 6.3 Overcoming Limitations in Space Environments 7. Safety and Reliability in AI Systems 7.1 Risk Assessment Strategies 7.2 Fail-Safe Mechanisms 7.3 Improving System Robustness 8. Future Trends and Developments 8.1 Emerging AI Technologies 8.2 Long-term Implications for Space Missions 8.3 Potential for Beyond Near-Earth Exploration