1 code implementation • 9 Sep 2022 • Andrea Rosasco, Stefano Berti, Fabrizio Bottarel, Michele Colledanchise, Lorenzo Natale
Many robotic tasks involving some form of 3D visual perception greatly benefit from a complete knowledge of the working environment.
no code implementations • 2 Aug 2021 • Evgenii Safronov, Nicola Piga, Michele Colledanchise, Lorenzo Natale
We also describe a complete pipeline from a real object's scans to the viewpoint selection and classification.
no code implementations • 24 Mar 2021 • Michele Colledanchise
Robots applications in our daily life increase at an unprecedented pace.
no code implementations • 21 Aug 2020 • Evgenii Safronov, Michele Colledanchise, Lorenzo Natale
The performance of a task planner relies on the belief state representation.
4 code implementations • 31 Aug 2017 • Michele Colledanchise, Petter Ögren
A Behavior Tree (BT) is a way to structure the switching between different tasks in an autonomous agent, such as a robot or a virtual entity in a computer game.
no code implementations • 1 Nov 2016 • Michele Colledanchise, Diogo Almeida, Petter Ögren
In this paper, we show how a planning algorithm can be used to automatically create and update a Behavior Tree (BT), controlling a robot in a dynamic environment.
no code implementations • 22 Apr 2015 • Michele Colledanchise, Ramviyas Parasuraman, Petter Ögren
Definition of an accurate system model for Automated Planner (AP) is often impractical, especially for real-world problems.