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.
Many technologies have been developed to determine the 3D-structure of the world. RGBD sensors such as the Kinect use structured light, projecting a pattern of light onto the scene and observing how it is distorted. Time of flight sensors measure the time it takes for a pulse of light to travel from the camera to […]
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.
Let’s recap what robots are, where they’ve come from and what they can do. Robots use sensors to understand their world and plan an action to achieve their goal.
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.
Why do robots need a sense of vision in this modern age when GPS satellites can tell a robot where it is? Let’s talk about GPS, how it works and its strengths and weaknesses such as multipath and urban canyon effects.