We recap the important points from this masterclass.
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We will learn the essentials of inertial navigation, about sensors such as accelerometers, gyroscopes and magnetometers and how we can use the information they provide to estimate our motion and orientation in 3D space.
A color camera has many similarities to the human eye. Instead of three types of cone cells a uniform silicon sensor uses a pattern of three color filters known as a Bayer filter.
A robot joint controller is a type of feedback control system which is an old and well understood technique. We will learn how to assemble the various mechatronic components such as motors, gearboxes, sensors, electronics and embedded computing in a feedback configuration to implement a robot joint controller.
We learn the principles behind ‘gyros’, sensors that measure angular velocity with respect to the universe.
We learn the principles behind magnetometers, sensors that measure the Earth’s magnetic field.
We learn the principles behind accelerometers, sensors that measure acceleration due to motion and due to the Earth’s gravitational field.
We learn how to use information from three magnetometers to determine the direction of the Earth’s north magnetic pole.
We learn how to use information from three accelerometers to determine orientation.
Vision is a critically important sense for humans and, in fact, for almost all animals. If it’s useful to us then surely it would be a useful sensor for robots.