Summary of Rigid-Body Dynamics
lesson
We recap the important points from this masterclass.
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Summary of Robot Actuators and Control
lesson
We recap the important points from this masterclass.
Summary of Inverse Kinematics
lesson
We revisit the important points from this masterclass.
Using magnetometers
lesson
We learn how to use information from three magnetometers to determine the direction of the Earth’s north magnetic pole.
Summary of robots and why we need them
lesson
This video summarises the important points from this masterclass.
Interpolating rotation in 3D
lesson
We learn how to create smoothly varying orientation in 3D by interpolating Euler angles and Quaternions. In the MATLAB example starting at 5:44 I use the Quaternion class. For Toolbox version 10 (2017) please use UnitQuaternion instead.
Multi-dimensional trajectory
lesson
We learn to compute a trajectory that involves simultaneous smooth motion of many robot joints.
Summary of 3D geometry and pose
lesson
We recap the important points from this lecture.
Rotation angle sequences in 3D
lesson
The orientation of a body in 3D can be described by three angles, examples of which are Euler angles and roll-pitch-yaw angles. Note that in the MATLAB example at 8:24 note that recent versions of the Robotics Toolbox (9.11, 10.x) give a different result: >> rpy2r(0.1,0.2,0.3)ans = 0.9363 -0.2751 0.2184 0.2896 0.9564 -0.0370 -0.1987 0.0978 […]