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William Harwin, Richard Mitchell, Timothy Threadgold, Louis Swaidani, and Yen Tu

Week 1: Week 2: Week 3: Week 4: Most FutureLearn courses run multiple times. Every run of a course has a set start date but you can join it and work through it after it starts. Find out more The course is designed for anyone with an interest in robotics- you don’t need to own your own robot to take part. Please be aware that this course contains video clips that include sequences of flickering/flashing lights which might affect learners who are susceptible to photosensitive epilepsy. You can use the hashtag #FLrobotics to talk about this course on social media.

Topics Covered

Read more

Week 1: Week 2: Week 3: Week 4: Most FutureLearn courses run multiple times. Every run of a course has a set start date but you can join it and work through it after it starts. Find out more The course is designed for anyone with an interest in robotics- you don’t need to own your own robot to take part. Please be aware that this course contains video clips that include sequences of flickering/flashing lights which might affect learners who are susceptible to photosensitive epilepsy. You can use the hashtag #FLrobotics to talk about this course on social media.

Topics Covered

  • An introduction to robotics from a cybernetic perspective
  • Overview of different types of robots and their application
  • History of robotics
  • Introduction to the robot simulations used in the course
  • Problem solving: commanding a mobile robot to move
  • A description of the components of a robot – sensors, actuators, ’brain’ and power supply
  • An understanding of different sensors, their operation and application
  • A description of motors, and how their velocity is set, and other robotic actuators
  • Problem solving: commanding a robot to achieve tasks on the basis of sensor information
  • Feedback for control and human-machine interaction
  • An explanation of feedback control of steering and speed in robots and in other applications such as balance, temperature and damping oscillations
  • Simple mathematical modelling of robots and different forms of control strategies
  • Human-Computer Interaction: feedback, including haptics
  • Problem solving: commanding a robot to follow a path
  • Feedback for Learning and robot: robot interaction
  • An appreciation of neuron based brains through Braitenburg vehicles
  • Robot learning by trial and error
  • Multiple robots and artificial life, relating to biological processes
  • Problem solving: commanding a robot to traverse a maze

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Reviews summary

Introduction to robotics for beginners

According to learners, the Begin Robotics course from the University of Reading provides a solid and accessible introduction to the field. Students appreciated the breadth of topics covered, including history, components, control, and learning, presented from a cybernetic perspective. Many found the simulations and demonstrations helpful for understanding concepts without needing physical hardware. However, some reviewers felt the course lacked depth or practical application, particularly for those with prior knowledge or seeking hands-on experience beyond simulations. A few mentioned technical issues with the platform or simulations, but overall, it is considered a good starting point for those new to robotics.
Introduces fundamental robotics topics.
"It covers different types of robots, sensors, actuators, and basic control systems."
"Gave me a good overview of the components and concepts needed to understand robotics."
"Learned about feedback control and different types of robot 'brains'."
Simulations aid understanding theory.
"The simulations were very useful for visualizing the concepts discussed in the lectures."
"Liked the demos showing how robots solve problems using sensors."
"Being able to use the simulator meant I didn't need a physical robot to learn."
Excellent starting point for newcomers.
"A good introduction to robotics for beginners who know nothing about the field. It gives a general idea about most important robotics concepts."
"Great introduction to the world of robotics for the very beginner."
"This course is perfect for absolute beginners wanting to dip their toes into robotics."
"Found this course very helpful for understanding the basics of robots."
Some users experienced technical glitches.
"Had some trouble getting the simulations to run correctly on my system."
"The platform interface was a bit clunky at times."
"Encountered minor technical difficulties throughout the course."
May be too basic; limited hands-on.
"It was a very brief introduction and lacked the depth I was hoping for."
"Felt like it stayed mostly theoretical without much practical, hands-on application beyond simple simulations."
"For someone with a bit of background, this might feel too basic or like a review."
"Could use more detail on implementation or specific programming examples."

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Learners who complete Begin Robotics will develop knowledge and skills that may be useful to these careers:

Reading list

We've selected 50 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 Begin Robotics.
Provides a comprehensive and up-to-date account of the theory, design, and practical implementations of various sensors. It is organized by the measured variables, making it a useful reference tool for students, researchers, and practicing engineers. The latest edition focuses on miniature and smart sensors driven by their expanding use in mobile devices, and includes developments in chemical sensors.
Developed by ex-McKinsey partners, this book presents a structured, seven-step approach to problem-solving used in top consulting firms. It emphasizes a highly visual, logic-tree method applicable to business and global challenges. is particularly relevant for undergraduate and graduate students interested in consulting or business, as well as working professionals seeking a robust framework for tackling complex issues. It valuable reference tool.
As a comprehensive handbook, this book covers a vast range of topics in robotics, from fundamentals to advanced research. It is an excellent reference for researchers and professionals, providing detailed insights into various subfields of robotics. While not a textbook for a single course, it is invaluable for deepening understanding and exploring contemporary topics.
Delves into how top strategy consultants approach and solve complex business problems. It provides a four-step process informed by consulting and cognitive psychology, highlighting how to avoid common biases that lead to poor decisions. This is an excellent resource for graduate students and working professionals, especially those in business, management, or consulting, offering practical insights and techniques used in the industry.
Published in late 2024, this book specifically explores the role of sensors within the Internet of Things. It covers the basics of IoT and provides up-to-date coverage of key sensors used in various IoT applications, such as smart homes, factory automation, and healthcare. is ideal for those interested in the practical implementation of sensors in connected systems.
This textbook provides a comprehensive overview of actuators, covering the principles of operation, design, and applications of a wide range of actuator types. It is suitable for both undergraduate and graduate students in engineering and related fields.
By one of the pioneers of the field, covers both theoretical foundations as well as extensively modern algorithms for motion planning.
This handbook serves as a comprehensive reference guide for engineers and scientists, offering hard-to-find information on selecting, specifying, and using sensors for various applications. It covers smart sensors, wireless sensors, and microtechnologies, highlighting their impact on sensor design and applications. is particularly valuable as a reference tool for industry professionals and researchers.
This foundational book explores the two systems of thought that drive our decisions: the fast, intuitive system and the slower, more deliberate system. Understanding these systems is crucial for recognizing cognitive biases that can impede effective problem-solving. It provides a strong theoretical background for anyone looking to improve their decision-making and analytical skills, making it valuable for undergraduate and graduate students, as well as professionals. While not a how-to guide, it offers deep insights into the human mind's approach to problems.
Provides a clear and concise introduction to systems thinking, explaining how to perceive and understand the interconnectedness of elements within a system. This perspective is vital for identifying root causes of problems and developing effective, long-term solutions. It is valuable for advanced undergraduates, graduate students, and professionals across various fields who need to analyze and address complex issues with multiple interacting factors.
Delves into the fundamental technology and various applications of Microelectromechanical Systems (MEMS), which are a significant category of sensors. It covers MEMS materials, design, and manufacturing, with contributions from experts in the field. This book is valuable for those interested in the miniaturization and integration aspects of sensor technology.
A classic in the field of mathematical problem-solving, Pólya's book outlines a four-step method: understanding the problem, devising a plan, carrying out the plan, and looking back. While focused on mathematics, its principles are widely applicable to problem-solving in any domain. is highly recommended for high school students and undergraduates, particularly those in STEM fields, and provides a solid framework for approaching unfamiliar problems.
Focusing on the algorithms behind mobile robot perception and control, this book is essential for understanding topics like localization, mapping, and state estimation in the presence of uncertainty. It is geared towards graduate students and researchers and is considered a seminal work in the field of mobile robotics.
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Following up on 'Thinking, Fast and Slow,' this book examines the impact of 'noise' – unwanted variability in judgments – on decision-making in various fields. It provides insights into identifying and reducing noise to improve the quality of decisions and problem resolution. This contemporary and relevant book for graduate students and professionals, particularly those involved in complex decision-making processes or system design.
Provides a comprehensive overview of robot motion planning, covering theoretical foundations, algorithms, and practical implementations. It is suitable for graduate students and researchers and key reference for anyone working on how robots navigate and move in complex environments.
Explores the integration of intelligence into sensors, covering the principles of smart sensors and their implementation using MEMS technology. It is relevant for those interested in the evolution of sensors towards more autonomous and integrated systems.
Provides a four-step process to overcome common decision-making biases and make better choices. It offers practical strategies and real-world examples to help individuals navigate difficult decisions. This highly applicable book for students and professionals at all levels, providing a clear and actionable framework for improving decision quality in both personal and professional contexts.
Offers an inside look at the problem-solving methodologies and tools used by McKinsey & Company, a leading management consulting firm. It provides practical insights into structuring thinking, conducting analysis, and presenting findings. This is particularly valuable for students and professionals interested in consulting or adopting a structured, analytical approach to business problems.
A comprehensive textbook focusing on mathematical problem-solving, this book introduces a wide range of strategies and techniques beyond standard algorithms. It encourages creative thinking and perseverance in tackling challenging problems. This is an excellent resource for high school students and undergraduates participating in math competitions or seeking to develop advanced mathematical problem-solving skills.
Introduces the basics of IoT and highlights the fundamental role of sensors within IoT applications. It covers IoT architecture, implementation issues, and the integration of sensors with cloud computing. This book is suitable for general readers and students of computer science looking to understand the intersection of sensors, IoT, and cloud computing.
Provides a comprehensive introduction to MEMS, covering their principles, fabrication, and applications. It widely used textbook in undergraduate and graduate programs related to microengineering and sensor technology. It offers a solid understanding of the underlying principles behind many modern miniature sensors.
Originally written for Japanese schoolchildren, this book offers a simple and accessible introduction to problem-solving frameworks. It emphasizes practical thinking and provides straightforward techniques applicable to various situations through real-life examples. is excellent for high school students and undergraduates seeking a foundational understanding of structured problem-solving approaches. It serves as a great starting point before delving into more complex methodologies.
Introduces Design Thinking as a human-centered approach to creative problem-solving. It provides a framework and tools for understanding user needs, brainstorming ideas, prototyping, and testing solutions. This is particularly useful for students and professionals in design, business, and innovation fields, offering a practical methodology for tackling ill-defined problems and generating innovative solutions.
Provides a rigorous mathematical treatment of robotic manipulation, focusing on the kinematics, dynamics, and control of robot arms. It is aimed at graduate students and researchers with a strong mathematical background and is considered a foundational text for theoretical robotics.
Drawing on her experience as a professional poker player, Annie Duke provides a framework for making better decisions in situations with incomplete information and uncertainty. is highly relevant for understanding probabilistic thinking and managing risk in problem-solving. It's a valuable read for students and professionals who frequently face decisions with uncertain outcomes.
Presents a structured approach to making better decisions, outlining a clear framework with practical tools and techniques. It helps readers identify their values, set objectives, and evaluate alternatives systematically. This highly practical guide for students and professionals at all levels looking to improve their decision-making skills, which are intrinsically linked to problem-solving.
From the Stanford d.school, this book offers a collection of exercises and activities rooted in design thinking to help individuals develop their creative problem-solving abilities. It's a hands-on guide for fostering innovation and tackling challenges in unconventional ways. is great for students and professionals who want to actively practice creative approaches to problem-solving and inject more innovation into their work.
Offers an accessible introduction to MEMS engineering, covering materials, design, and manufacturing with an emphasis on commercialized products. It helps readers understand how MEMS technology is applied in various markets and provides practical knowledge for those considering or working with MEMS solutions.
Offers a holistic approach to problem-solving, focusing on both the necessary mindset and practical tools. It encourages creativity, adaptability, and continuous improvement. With real-world examples and techniques, it's a useful guide for students and professionals looking to develop a well-rounded problem-solving skill set.
This contemporary book explores the connections between data analysis, dynamical systems, and control, reflecting recent trends in the field. It covers techniques like machine learning for control and system identification from data. It is suitable for advanced students and researchers interested in data-driven approaches to feedback control.
Focuses on the technical aspects of sensor technologies specifically within manufacturing environments. It explains how to select and install sensors to improve productivity and reduce errors in manufacturing operations. This practical guide for engineers and technicians in the manufacturing sector.
Explores how experienced professionals make decisions in complex, time-pressured situations, focusing on the power of intuition and recognition-primed decision making. It challenges traditional rational decision-making models and offers insights into expert problem-solving. This valuable read for graduate students and professionals in high-stakes environments, providing a deeper understanding of how expertise influences problem resolution.
Provides a comprehensive introduction to the AI approach to robotics, covering algorithms and programming for robot systems. It is suitable for students with or without a background in AI and explores how AI contributes to autonomous capabilities. The second edition includes new material on learning, human-robot interaction, and ethics.
This practical guide covers the role of sensors within the broader context of industrial automation systems. It provides hands-on information on using sensors, actuators, and control systems like PLCs. is relevant for those interested in the application of sensors in industrial settings and automation projects.
Offers a collection of 14 diverse techniques and frameworks for approaching and solving problems. It provides practical tools for analysis, creativity, and decision-making. This useful reference for students and professionals looking to expand their repertoire of problem-solving methods and apply different techniques to various types of challenges.
Ray Dalio, the founder of Bridgewater Associates, outlines the principles he developed and used to achieve success in life and work, including his approach to decision-making and problem-solving. offers a unique perspective on tackling challenges based on radical truth and transparency. It thought-provoking read for advanced undergraduate students, graduate students, and professionals interested in a principle-driven approach to problem-solving and leadership.
Although targeted at legal and policy professionals, this book offers a systematic guide to creative problem-solving and effective judgment rooted in insights from statistics, decision science, and psychology. It's a valuable resource for graduate students and professionals in fields requiring rigorous analysis, judgment, and decision-making in complex social contexts.
Offers a strong foundation in the principles of measurement and instrumentation, which is essential for understanding how sensors work and how their signals are processed. While not solely focused on sensors, it provides crucial background knowledge in related areas like signal conditioning and data acquisition. It is often used as a textbook in academic settings.
Serves as an introduction to chemical sensors, bridging the gap between chemistry, physics, and engineering principles. It is aimed at researchers and practitioners in these disciplines, providing a systematic and practice-oriented approach to the basic technology of chemical and biochemical sensors.
This leading graduate-level textbook on the analysis and control of nonlinear systems. It provides a rigorous treatment of stability analysis, feedback stabilization, and other advanced topics in nonlinear control. is essential for those specializing in nonlinear feedback control and key reference in the field.
Foundational text in reinforcement learning, a key area for developing intelligent and autonomous robots that can learn from experience. It is suitable for graduate students and researchers and provides a comprehensive introduction to the theory and algorithms of reinforcement learning.
While not solely about sensors, this volume provides in-depth coverage of micromachining and microfluidics, which are crucial fabrication techniques for many types of miniature sensors, particularly MEMS and biosensors. It foundational text for understanding the manufacturing processes behind these sensors.
Provides a concise and practical guide to both problem-solving and decision-making processes. It offers clear models and frameworks for effective thinking and action. This good introductory or supplementary text for high school and undergraduate students, as well as professionals seeking a straightforward overview of key concepts and techniques.
Essential for robotics that interact with their environment visually, this book provides a comprehensive introduction to computer vision. It covers fundamental concepts and algorithms, making it suitable for upper-division undergraduate and graduate students. It valuable reference for perception in robotics.
This modern classic provides a comprehensive introduction to feedback systems from a unified perspective, suitable for a broad audience including scientists and engineers. It covers essential concepts in both the time and frequency domains and is freely available online. is excellent for both gaining a broad understanding and serving as a foundational reference.
As robots become more prevalent in human environments, understanding human-robot interaction is vital. provides an introduction to the principles and challenges of designing robots that can interact effectively and naturally with humans. It is relevant for students and researchers interested in the social and psychological aspects of robotics.
Describes geometric techniques for modeling and planning robot motions. Suitable for researchers and graduate students.
While not solely focused on robotics, this comprehensive textbook cornerstone for understanding the artificial intelligence principles that underpin many modern robotic capabilities. It is widely used in AI courses at both undergraduate and graduate levels and serves as an excellent reference for the AI aspects of robotics.
Is geared towards those who want to begin building their own IoT projects using sensors and embedded devices like Arduino and Raspberry Pi. It provides practical guidance on programming and interfacing sensors for simple IoT tasks. This good starting point for hands-on learners.

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