Modern Robotics Engineering: Motion Planning, Robot Programming, Control Systems, Embedded Platforms, Machine Perception, and Industrial Automation
Motion Planning, Robot Programming, Control Systems, Embedded Platforms, Machine Perception, and Industrial Automation
How do modern robots plan movement, process information, interact with their surroundings, and perform complex tasks?
Modern Robotics Engineering provides a structured introduction to the engineering principles used to design, program, control, and integrate robotic systems. The book examines the relationship between mechanical components, embedded hardware, software, sensors, control algorithms, and industrial automation.
Robotics combines several engineering disciplines. A functioning robotic system depends on the coordinated operation of hardware and software, from sensing and computation to motion generation and control. Understanding these relationships provides a foundation for analyzing and developing robotic platforms.
The book covers:
Fundamental concepts of modern robotics engineering
Robot system architecture and component integration
Motion planning and trajectory generation
Robot programming and software concepts
Sensors and machine perception
Robot control systems and feedback
Embedded platforms used in robotic applications
Actuators, motors, and robotic mechanisms
Coordinate systems and robot motion
Kinematic concepts and system modeling
Industrial robotics and automated production systems
Robot communication and system integration
Simulation, testing, and performance evaluation
Engineering considerations in robotic system development
Motion planning is an important part of robotics because a robot must determine how to move from one state or position to another while considering its physical structure and operating environment. The book introduces concepts that help readers understand how movement can be represented, planned, and controlled.
Robot programming provides another essential layer of robotic engineering. Software allows robotic systems to process sensor information, execute control instructions, coordinate components, and perform programmed tasks. The book explores the relationship between software and the physical components that make up a robotic platform.
Machine perception is also considered as part of the broader robotics system. Sensors allow robots to collect information about their surroundings, while processing techniques help transform that information into data that can support control, navigation, and decision-making.
The book further examines embedded platforms and control systems. These technologies provide the computational and operational foundation required for many robotic applications, allowing software, sensors, actuators, and control algorithms to work together.
Industrial automation provides an important application area for robotics engineering. Readers can explore how robotic systems are integrated into automated processes and how engineering considerations such as coordination, reliability, safety, and system performance influence industrial applications.
Whether you are studying robotics engineering, developing technical knowledge, exploring robotic programming, or building a foundation for more specialized study, Modern Robotics Engineering provides an organized introduction to the technologies and engineering principles behind modern robotic systems.
From motion planning and programming to perception, embedded platforms, control, and industrial automation, this book presents robotics as an integrated engineering discipline.
Explore the technology. Understand the systems. Build a foundation in modern robotics engineering.
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