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Francesco Rovida

4 accepted papers

2018

Motion Generators Combined with Behavior Trees: A Novel Approach to Skill Modelling

IROS 2018poster

Task level programming based on skills has often been proposed as a mean to decrease programming complexity of industrial robots. Several models are based on encapsulating complex motions into self-contained primitive blocks. A semantic skill is then defined as a deterministic sequence of these prim…

Cited by 49SourceScholar
2017

Extended behavior trees for quick definition of flexible robotic tasks

IROS 2017poster

The requirement of flexibility in the modern industries demands robots that can be efficiently and quickly adapted to different tasks. A way to achieve such a flexible programming paradigm is to instruct robots with task goals and leave planning algorithms to deduct the correct sequence of actions t…

Cited by 123SourceScholar