Mihael Simonič — accepted AI-conference papers

2020

Learning of Exception Strategies in Assembly Tasks

ICRA 2020poster

Assembly tasks performed with a robot often fail due to unforeseen situations, regardless of the fact that we carefully learned and optimized the assembly policy. This problem is even more present in humanoid robots acting in an unstructured environment where it is not possible to anticipate all fac…

Cited by 8 Source ↗Scholar ↗

2017

Enhancing the performance of adaptive iterative learning control with reinforcement learning

Bojan Nemec, Mihael Simonič, Nejc Likar, Aleš Ude

IROS 2017poster

In this study we propose a new method to enhance the performance of iterative learning control (ILC). We focus on robotic tasks dealing with adaptation to the unknown or partially known environment, where the robot has to learn the environment geometry in order to perform the desired task with the g…

Cited by 19 Source ↗Scholar ↗