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Autonomous Systems: A Practical Guide to Intelligent Machines, Robotics, and Real-World AI Engineering-logo

Autonomous Systems: A Practical Guide to Intelligent Machines, Robotics, and Real-World AI Engineering

Edward Langford

Master real-world AI engineering and robotics to transform raw data into fully functional autonomous machines. Whether you are commuting to an engineering lab or upskilling for a tech career, this focused guide bridges the gap between theoretical...

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Opening Credits

1/11/2026
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Chapter 1: What Makes a System Autonomous

1/11/2026
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Chapter 2: From Raw Signals to Situational Awareness

1/11/2026
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Chapter 3: Knowing Where You Are Localization and Mapping

1/11/2026
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Chapter 4: Deciding What To Do Planning and Control Fundamentals

1/11/2026
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Chapter 5: Organizing Intelligence Architectures for Autonomous Systems

1/11/2026
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Chapter 6: From Diagrams to Code Software Stacks and Implementation

1/11/2026
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Chapter 7: Data and Intelligence Rule Based and Learning Based Methods

1/11/2026
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Chapter 8: Building Trust Safety, Testing, and Human Interaction

1/11/2026
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Chapter 9: Autonomy in the Field Domains, Constraints, and Case Stories

1/11/2026
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Chapter 10: Thinking in Systems Careers and Continuous Learning in Autonomy

1/11/2026
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Closing Credits

1/11/2026