We consider a robot with four joints that moves its end-effector in 3D space.
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For a real 6-link robot our previous approach to computing the Jacobian becomes unwieldy so we will instead compute a numerical approximation to the forward kinematic function.
We extend what we have learnt to a 3-link planar robot where we can also consider the rotational velocity of the end-effector.
We resume our analysis of the 6-link robot Jacobian and focus on the rotational velocity part.
We consider a robot with three joints that moves its end-effector on a plane.
We will learn about how we make the the robot joints move to the angles or positions that are required in order to achieve the desired end-effector motion. This is the job of the robot’s joint controller and in this lecture we will learn how this works. This journey will take us in to the […]
A robot manipulator may have any number of joints. We look at how the shape of the Jacobian matrix changes depending on the number of joints of the robot.
To move a robot smoothly from one pose to another we need smooth and coordinated motion of all the joints. The simplest approach is called joint interpolated motion but it has some limitations.
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 will use Simulink to create a dynamic model of a single robot joint and simulate its operation.