Autonomous Systems Engineering: Intelligent Control, Sensor Fusion, Navigation Algorithms, Decision-Making Systems, Robotics Integration, and Autonomo
Intelligent Control, Sensor Fusion, Navigation Algorithms, Decision-Making Systems, Robotics Integration, and Autonomous Platform Design
How do autonomous systems collect information, interpret their surroundings, make decisions, and respond to changing conditions?
Autonomous Systems Engineering introduces the fundamental concepts used to understand and develop autonomous machines and intelligent platforms. The book examines the relationship between sensors, software, control systems, navigation, decision-making, and robotic hardware.
Readers are introduced to the main engineering components that allow autonomous systems to perceive their environment, process information, determine appropriate actions, and control physical systems.
The book covers:
Fundamentals of autonomous systems engineering
Autonomous system architecture and components
Sensors and environmental perception
Sensor fusion and data integration
Localization and mapping
Navigation and path planning
Intelligent control and feedback
Decision-making systems
Motion planning and system coordination
Robotics integration
Autonomous vehicles and robotic platforms
Artificial intelligence in autonomous applications
System modeling and simulation
Testing and evaluation of autonomous systems
Engineering considerations for autonomous platform design
A major part of autonomous systems engineering is the integration of multiple technologies. Sensors provide information about the environment, algorithms process that information, control systems manage system behavior, and actuators perform physical actions.
The book explores how these elements interact within an autonomous platform. Readers can examine concepts such as sensor fusion, localization, navigation, planning, control, and decision-making, and understand how they contribute to the operation of autonomous systems.
Sensor fusion is also examined as an important method for combining information from multiple sensors. This can support applications involving environmental perception, positioning, navigation, and system control.
Autonomous systems must operate under changing conditions and may encounter incomplete information, sensor limitations, computational constraints, and unexpected situations. For this reason, engineering autonomous platforms requires careful analysis, system integration, testing, and evaluation.
Robotics provides one important application of these principles. The integration of sensors, software, controllers, actuators, and mechanical components demonstrates how different engineering disciplines contribute to the development of autonomous machines.
The concepts discussed in this book can also provide a foundation for exploring autonomous vehicles, industrial automation, robotic platforms, intelligent machines, and other systems that require automated perception, planning, and control.
Whether you are studying engineering, learning about robotics and autonomous technology, or building a foundation for further technical study, Autonomous Systems Engineering provides an organized introduction to the principles and technologies involved in autonomous system development.
From sensing and sensor fusion to navigation, intelligent control, decision-making, and robotics integration, this book explores the engineering concepts that connect perception, planning, and action in autonomous systems.
Explore the principles. Understand the systems. Build a foundation in autonomous systems engineering.
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