1. Introduction 1.1 Background and Motivation 1.2 Objectives of the Study 1.3 Structure of the Thesis 2. Literature Review 2.1 Autonomous Mechatronic Systems 2.2 Advanced Control Systems 2.3 Challenges in Unstructured Environments 3. Methodology 3.1 Research Design 3.2 Data Collection Techniques 3.3 Analytical Framework 4. Autonomous System Architecture 4.1 System Components and Functions 4.2 Integration of Control Systems 4.3 Software and Hardware Interactions 5. Control Algorithms 5.1 Adaptive Control Strategies 5.2 Machine Learning in Control Systems 5.3 Real-time Decision Making 6. Environment Interaction 6.1 Sensor Technologies 6.2 Environment Mapping Techniques 6.3 Strategies for Navigation 7. Experimental Results 7.1 Testbed Setup 7.2 Evaluation Metrics 7.3 Performance Analysis 8. Conclusion 8.1 Summary of Findings 8.2 Implications for Future Research 8.3 Recommendations for Industry
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