A memory of motion for visual predictive control tasks
Antonio Paolillo,Teguh Santoso Lembono,Sylvain Calinon,Antonio Paolillo,Teguh Santoso Lembono,Sylvain Calinon
This paper addresses the problem of efficiently achieving visual predictive control tasks. To this end, a memory of motion, containing a set of trajectories built off-line, is used for leveraging precomputation and dealing with difficult visual tasks. Standard regression techniques, such as k-nearest neighbors and Gaussian process regression, are used to query the memory and provide on-line a warm...
