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Andreas Svensson

2 accepted papers

2018

Ontology-Based Knowledge Representation for Increased Skill Reusability in Industrial Robots

IROS 2018poster

We assume that an intuitive means for the specification, re-use, modification and transfer of synchronized motions-both regarding the two arms of a dual-arm robotic system, as well as regarding the coordination of a user and a robot-is key in interactive and collaborative settings as they are curren…

Cited by 25SourceScholar
2016

Computationally Efficient Bayesian Learning of Gaussian Process State Space Models

AISTATS 2016poster

Gaussian processes allow for flexible specification of prior assumptions of unknown dynamics in state space models. We present a procedure for efficient Bayesian learning in Gaussian process state space models, where the representation is formed by projecting the problem onto a set of approximate ei…

Cited by 68SourcePDFScholar