May 1, 2024
Updated May 11, 2025
19 minute read
Robot control is the field of engineering and technology that focuses on how robots are commanded to move and perform tasks. It involves a combination of mechanical systems and programmable logic that dictates a robot's actions. At a high level, robot control systems are the "brains" that enable robots to perceive their environment, process information, and execute precise movements. This fascinating field sits at the intersection of mechanical engineering, electrical engineering, and computer science, driving innovation across numerous industries.
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Find a path to becoming a Robot Control. Learn more at:
OpenCourser.com/topic/dvef3w/robot
Reading list
We've selected 28 books
that we think will supplement your
learning. Use these to
develop background knowledge, enrich your coursework, and gain a
deeper understanding of the topics covered in
Robot Control.
This handbook comprehensive reference covering all major aspects of robotics, including foundations, structures, sensing, perception, manipulation, mobile and distributed robotics, and field and service robotics. It is an invaluable resource for researchers and professionals seeking in-depth knowledge across the field.
This recent book focuses on using machine learning techniques and dynamical systems for adaptive and reactive robot control, particularly in human-robot interaction. It covers contemporary topics and is designed for graduate-level courses.
Considered a classic in the field, this book provides a solid foundation in robot modeling and control, including kinematics, dynamics, and modern control methods. It good introduction for senior undergraduate and graduate students, offering practical examples and exercises.
Provides a comprehensive overview of the field of robot modeling and control, covering topics such as kinematics, dynamics, control theory, and motion planning. It is suitable for both undergraduate and graduate students, as well as practicing engineers.
Provides a comprehensive overview of the field of robot control, covering topics such as kinematics, dynamics, control theory, and motion planning. It is suitable for both undergraduate and graduate students, as well as practicing engineers.
Provides a comprehensive overview of the field of robot control, covering topics such as kinematics, dynamics, control theory, and motion planning. It is suitable for both undergraduate and graduate students, as well as practicing engineers.
Offers a rigorous mathematical treatment of robotic manipulation, focusing on the kinematics, dynamics, and control of robot manipulators using geometric tools like Lie groups. It is highly recommended for those who want to delve deep into the mathematical aspects of robot control at a graduate level.
This recent book explores learning-based control techniques with applications in robotics. It covers state-of-the-art methods involving machine learning and AI, as well as foundational control theories. It is relevant for those interested in contemporary topics in robot control.
Classic in the field of mobile robotics, focusing on state estimation and control in the face of uncertainty using probabilistic methods. It is essential for understanding how robots can operate autonomously in real-world environments and is suitable for advanced undergraduate and graduate students.
Offers a comprehensive survey of control systems for serial-link robot arms. It covers theoretical and mathematical requirements for control design and discusses techniques like computed-torque, robust, adaptive, neural network, and force control. It valuable reference for researchers and engineers.
Introduces state-of-the-art technologies in human-robot interaction, focusing on control, analysis, and design. It is relevant for graduate students, practitioners, and researchers interested in the growing field of collaborative robotics and human-aware control.
Covers the theoretical and algorithmic foundations of robot motion, with a focus on planning and control. It valuable resource for advanced students and researchers, bridging the gap between theory and implementation.
Provides a comprehensive overview of the field of control of robotic systems, covering topics such as kinematics, dynamics, control theory, and motion planning. It is suitable for both undergraduate and graduate students, as well as practicing engineers.
Offers a guide to the fundamentals of robotics, including analysis, control, and applications. It covers mechanics, kinematics, control systems, sensors, and actuators, providing a broad understanding for engineering students and practicing engineers.
Provides a detailed treatment of the dynamics and control of robot manipulators. It is suitable for graduate students and researchers focusing on the dynamic behavior and advanced control strategies for robot arms.
Provides a practical overview of the field of robot control, covering topics such as kinematics, dynamics, control theory, and motion planning. It is suitable for both undergraduate and graduate students, as well as practicing engineers.
This foundational book in the field of robot motion planning, providing a comprehensive treatment of the subject. While older, it is considered a classic and is essential for understanding the history and fundamental concepts of motion planning in robotics.
While aimed at beginners, this book provides practical knowledge on getting started in amateur robotics, including basic control concepts. It's a good starting point for high school students or those with little to no prior experience in robotics.
For more information about how these books relate to this course, visit:
OpenCourser.com/topic/dvef3w/robot
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