1 code implementation • 16 Mar 2021 • Jonathan Styrud, Matteo Iovino, Mikael Norrlöf, Mårten Björkman, Christian Smith
Industrial robots can solve very complex tasks in controlled environments, but modern applications require robots able to operate in unpredictable surroundings as well.
no code implementations • 6 Nov 2020 • Matteo Iovino, Jonathan Styrud, Pietro Falco, Christian Smith
Modern industrial applications require robots to be able to operate in unpredictable environments, and programs to be created with a minimal effort, as there may be frequent changes to the task.
no code implementations • 12 May 2020 • Matteo Iovino, Edvards Scukins, Jonathan Styrud, Petter Ögren, Christian Smith
Behavior Trees (BTs) were invented as a tool to enable modular AI in computer games, but have received an increasing amount of attention in the robotics community in the last decade.
1 code implementation • 1 Mar 2017 • Rika Antonova, Silvia Cruciani, Christian Smith, Danica Kragic
In this work we propose an approach to learn a robust policy for solving the pivoting task.
no code implementations • LREC 2012 • Christian Smith, Henrik Danielsson, Arne J{\"o}nsson
We have investigated the effect on summary quality when using various language resources to train a vector space based extraction summarizer.
no code implementations • LREC 2012 • Thomas Kaspersson, Christian Smith, Henrik Danielsson, Arne J{\"o}nsson
These results show that the degree of summarization has to be taken into account to minimize the amount of errors by extraction based summarizers.