Christian Goerick

Online adaptation of uncertain models using neural network priors and partially observable planning

One of the key challenges in realizing a robot that is capable of completing a variety of manipulation tasks in the real world is the need to utilize sufficiently compact and rich world models. If the assumed prediction model does not match real observations, planning systems are unable to perform p…