In a serial-link manipulator arm each joint has to support all the links between itself and the end of the robot. We introduce the recursive Newton-Euler algorithm which allows us to compute the joint torques given the robot joint positions, velocities and accelerations and the link inertial parameters.
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We learn a method for succinctly describing the structure of a serial-link manipulator in terms of its Denavit-Hartenberg parameters, a widely used notation in robotics.
We consider the most general type of serial-link robot manipulator which has six joints and can position and orient its end-effector in 3D space.
We start by looking at a number of different types of robot arm with particular focus on serial-link robot manipulators.
We consider a robot with three joints that moves its end-effector on a plane.
We consider a robot, which has two rotary joints and an arm.
We consider the simplest possible robot, which has one rotary joint and an arm.
We introduce serial-link robot manipulators, the sort of robot arms you might have seen working in factories doing tasks like welding, spray painting or material transfer. We will learn how we can compute the pose of the robot’s end-effector given knowledge of the robot’s joint angles and the dimensions of its links.
We revisit the simple 2-link planar robot and determine the inverse kinematic function using simple geometry and trigonometry.
When a camera moves in the world, points in the image move in a very specific way. The image plane or pixel velocity is a function of the camera’s motion and the position of the points in the world. This is known as optical flow. Let’s explore the link between camera and image motion.