Dimensionality reduction is a method used in machine learning and data science to reduce the dimensions in a dataset. While linear methods are generally less effective at dimensionality reduction than ...

Path planning for reaching tasks is a fundamental problem both in robotics 1 and behavioural science 2. While many control schemes can guarantee convergence of an end effector upon a target, ...