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Layla Croll, Laura Giles, Chris Black, Sandor Veres, Sean Anderson, Jonathan Aitken, Noel Sharkey, Mahnaz Arvaneh, Natalie Wood, Leonardo Stella, and Uziel Jaramillo-Avila

This course looked at current and future developments in the field of robotics that could shape different aspects of people’s daily lives. It built an understanding of the principles and fundamental challenges of designing robots including: 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 This course is open to anyone with an interest in robotics. It will be of particular interest to engineers, designers, technicians and enthusiasts who are keen to explore the role of robots in our economic and industrial future. You can use the hashtag #FLRoboFuture to talk about this course on social media.

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This course looked at current and future developments in the field of robotics that could shape different aspects of people’s daily lives. It built an understanding of the principles and fundamental challenges of designing robots including: 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 This course is open to anyone with an interest in robotics. It will be of particular interest to engineers, designers, technicians and enthusiasts who are keen to explore the role of robots in our economic and industrial future. You can use the hashtag #FLRoboFuture to talk about this course on social media.

Topics Covered

  • What a robot needs to be able to sense the world using drones, youBots and autonomous cars as examples.
  • Current and future developments in robotics and how and where they are being applied.
  • How robotics can take inspiration from nature looking at swarm robots and biomimetics.
  • How robots work with others for example, a robot surgeon and a robotic arm.

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Reviews summary

Overview of robotics future and applications

According to students, this course provides a positive, high-level overview of the exciting field of robotics and its future applications. Many learners found the content interesting and inspiring, particularly appreciating the coverage of topics like drones, autonomous cars, and biomimetics. It is often described as a good starting point for those new to the subject or enthusiasts looking for a broad understanding. However, some reviewers noted that the course can be too basic for those with technical backgrounds and lacks deep technical detail or practical application advice, leading to it feeling somewhat superficial for some.
Accessible and clear for newcomers.
"As someone completely new to robotics, this course was a perfect starting point. Easy to follow and understand."
"I recommend this course for enthusiasts or anyone just curious about the future of technology."
"It's a great introductory course, assumes no prior knowledge which was perfect for me."
"The explanations were clear and made complex ideas approachable for a layperson."
Content like drones and AI sparks interest.
"The sections on autonomous vehicles and drone technology were particularly fascinating and well-presented."
"Really enjoyed seeing the real-world examples of robotics in action, from surgery to nature-inspired designs."
"The course does a great job highlighting the cool and exciting potential of robots in our daily lives."
"Inspired me to learn more about specific areas like swarm robotics after seeing the examples."
Provides a comprehensive, high-level introduction.
"It gave me a really good overview of the different areas of robotics and its potential future."
"The course covers a wide range of topics, showing how robots are being applied across various fields."
"Learned about many different aspects of robotics I hadn't considered before, like biomimetics and swarm robots."
"Excellent introduction to the field of robotics and its impact on society."
Surface-level coverage disappointing for some.
"While the overview is nice, I was hoping for more technical details on how these robots actually work."
"Too basic for anyone with an engineering background; it felt more like a general interest lecture series."
"Could use more in-depth coverage on the engineering principles behind the examples shown."
"I found it frustratingly superficial, it mentions cool concepts but doesn't explain the 'how'."

Activities

Coming soon We're preparing activities for Building a Future with Robots. These are activities you can do either before, during, or after a course.

Career center

Learners who complete Building a Future with Robots will develop knowledge and skills that may be useful to these careers:

Reading list

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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.
Comprehensive textbook on robotics, covering a wide range of topics from kinematics to machine learning. It is suitable for both undergraduate and graduate students.
Comprehensive textbook on robot modeling and control. It is suitable for both undergraduate and graduate students.
Mathematical introduction to robotics, covering topics such as kinematics, dynamics, and control. It is suitable for undergraduate students.
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.
Provides a comprehensive overview of recent developments in robotic welding. It covers topics such as robotic welding processes, welding automation, and welding quality control.
Offers a unified treatment of robot mechanics, planning, and control using the contemporary approach of screw theory. It is suitable for advanced undergraduate and graduate students and is often used as a textbook. The book provides a strong theoretical basis and includes software examples for practical understanding.
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.
Offers a practical introduction to robotics and computer vision with a strong emphasis on algorithmic implementation using MATLAB. It is suitable for undergraduate and graduate students and provides a hands-on approach to learning key concepts through readily available software tools.
Offers a comprehensive introduction to robot modeling and control, covering kinematics, dynamics, and control strategies. It is suitable for advanced undergraduate and graduate students and is widely used as a textbook in robotics courses.
Provides a broad introduction to the principles and techniques of autonomous mobile robots, including locomotion, perception, localization, mapping, and planning. It is suitable for undergraduate and graduate students and offers a good overview of the challenges and solutions in mobile robotics.
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.
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.
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.
Offers a broad and unified treatment of planning algorithms, which are crucial for robots to make decisions and choose actions. It valuable resource for graduate students and researchers interested in the theoretical underpinnings of robot autonomy.
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.
Provides a practical guide to designing and building autonomous robots. It is suitable for advanced undergraduate students and hobbyists interested in the hands-on aspects of robotics, covering topics from hardware selection to software architecture.
Given the increasing integration of robots into society, understanding the ethical implications is crucial. explores the ethical and social issues raised by robotics, making it relevant for students and professionals across various disciplines interested in the broader impact of robotics.
Provides a comprehensive overview of robotics, covering topics such as kinematics, dynamics, control, and perception. It is suitable for both undergraduate and graduate students.

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