This part discusses what the word robot means to roboticists and the wider public, the history of the field, and the different forms that robots take today. A definition that will serve us well is:
a goal oriented machine that can sense, plan and act
We then move on to cover how we can represent the position and orientation of objects in 2- or 3-dimensional environments in terms of graphical coordinate frames. The objects might be robots, cameras, objects or obstacles. In order to use these frames in a computer program we need an appropriate representation and we discuss vectors, orthonormal rotation matrices, triple angles, homogeneous transformation matrices and quaterions.
Finally we discuss motion, how to generate a sequence of coordinate frames that represent smooth motion from one pose to another. We also consider how to process information from sensors on a moving frame to determine the pose of that frame.
- Representing position & orientation
- Pose in 2-dimensions
- Pose in 3-dimensions
- Orthonormal rotation matrices, homogeneous transformation matrices
- Euler angles, roll-pitch-yaw angles, gimbal lock, quaternions
- Time & motion
- Trajectories: 1-dimensional, multi-dimensional, multi-segment
- Interpolation of rotation
- Smooth Cartesian motion
- Time-varying coordinate frames, angular velocity
- Inertial navigation solution