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Brandon Armstrong,
James Sergeant,
Peter Corke,
Edward Pepperell,
Obadiah Lam,
and
Dorian Tsai
Topics Covered
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Topics Covered
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Topics Covered
- Sourcing the equipment
- Connecting to the brick
- Moving the motors
- Braking modes
- Joint types
- Key design decisions
- Connecting structure and gears
- Robot design tips
- Developing kinematics equations in MATLAB
- Moving your robot to a point
- Joint movement
- Improving movement performance
- Filming your robot arm
- Submitting your video for peer assessment
- Assessing other learners’ videos
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Reviews summary
Stem-focused robot arm construction
This STEM-focused course is a great opportunity to apply mathematical, algorithmic and control principles to build a robot arm. It is recommended you have some knowledge of advanced high-school mathematics or engineering, especially analytic geometry and linear algebra, before taking this course.
Many learners found this course to be a wonderful surprise.
"It seemed attractive so I went for it and what a wonderful suprise."
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Introducing Robotics: Build a Robot Arm.
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Reading list
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This textbook provides a rigorous mathematical treatment of robotics, covering topics such as kinematics, dynamics, control, and planning. It is suitable for advanced undergraduate and graduate students with a strong background in mathematics.
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This textbook covers the full spectrum of robotics, from kinematics to control to planning. It is suitable for advanced undergraduate and graduate students.
This textbook provides a comprehensive introduction to robot modeling and control, with a focus on practical implementation. It is suitable for advanced undergraduate and graduate students with a background in control theory.
This textbook covers the fundamentals of robotic mapping and navigation, including sensor models, localization, and path planning. It is suitable for advanced undergraduate and graduate students.
This textbook provides a comprehensive introduction to robot vision, covering topics such as image processing, feature extraction, and object recognition. It is suitable for advanced undergraduate and graduate students.
This textbook covers the fundamentals of robot learning, including supervised learning, reinforcement learning, and unsupervised learning. It is suitable for advanced undergraduate and graduate students with a background in machine learning.
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This handbook provides a comprehensive overview of robotics and automation, including topics such as robot design, control, and applications. It is suitable for engineers and researchers.
This textbook provides a comprehensive introduction to AI robotics, covering topics such as robot learning, planning, and decision making. It is suitable for undergraduate and graduate students.
Explores the ethical and social implications of robotics, raising important questions about the use of robots in various domains. It is suitable for anyone interested in the ethical implications of technology.
Provides a comprehensive overview of human-robot interaction, covering topics such as robot design, interaction modalities, and social implications. It is suitable for researchers and practitioners in this field.
Provides a comprehensive overview of the Robot Operating System (ROS), which popular open-source software framework for robot software development. It is suitable for engineers and researchers who want to use ROS for robotics projects.
This textbook provides a comprehensive introduction to autonomous robots and multi-robot systems, covering topics such as robot autonomy, cooperative control, and swarm robotics. It is suitable for advanced undergraduate and graduate students.
For more information about how these books relate to this course, visit:
OpenCourser.com/course/6w0yr5/introducing
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