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:
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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.
Provides a comprehensive overview of the field of robotics, 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 modern and unified perspective on the mechanics, planning, and control of robots. It is suitable for both self-learning and coursework, covering topics like kinematics, dynamics, motion planning, and control. It is considered a go-to textbook for learning about this subject and is valuable for solidifying understanding.
Comprehensively covers robotic fundamentals, including modeling, planning, and control. It is an excellent text for graduate students and researchers, blending rigorous formalism with technological aspects. It's a valuable reference for engineers and scientists in 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.
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 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.
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 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.
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.
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.
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.
Provides an overview of the technology behind autonomous mobile robots, covering locomotion, sensing, localization, and motion planning. It's a good introduction for students and researchers interested in mobile robotics and the integration of various disciplines.
Provides a practical approach to robotics, vision, and control using MATLAB. It comprehensive guide to understanding algorithms and implementing them, making it useful for students and practitioners.
This comprehensive book delves into the fundamentals of planning algorithms, a critical component of robot control for autonomous operation. It valuable resource for researchers and graduate students interested in the theoretical underpinnings of robot motion planning.
Provides a comprehensive overview of the field of adaptive control of robotic manipulators, covering topics such as model-based control, adaptive control, and robust control. It is suitable for both undergraduate and graduate students, as well as practicing engineers.
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.
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.
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.
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.
For more information about how these books relate to this course, visit:
OpenCourser.com/topic/dvef3w/robot
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