31 citations · 32 across the 6 of their papers we have counts for
6 papers
Automatic Behavior Tree Expansion with LLMs for Robotic Manipulation
Jonathan Styrud, Matteo Iovino, Mikael Norrlöf +2
Robotic systems for manipulation tasks are increasingly expected to be easy to configure for new tasks or unpredictable environments, while keeping a transparent policy that is rea…
On the programming effort required to generate Behavior Trees and Finite State Machines for robotic applications
Matteo Iovino, Julian Förster, Pietro Falco +3
In this paper we provide a practical demonstration of how the modularity in a Behavior Tree (BT) decreases the effort in programming a robot task when compared to a Finite State Ma…
Interactive Disambiguation for Behavior Tree Execution
Matteo Iovino, Fethiye Irmak Doğan, Iolanda Leite +1
In recent years, robots are used in an increasing variety of tasks, especially by small- and medium- sized enterprises. These tasks are usually fast-changing, they have a collabora…
Combining Planning and Learning of Behavior Trees for Robotic Assembly
Jonathan Styrud, Matteo Iovino, Mikael Norrlöf +2
Industrial robots can solve very complex tasks in controlled environments, but modern applications require robots able to operate in unpredictable surroundings as well. An increasi…
Learning Behavior Trees with Genetic Programming in Unpredictable Environments
Matteo Iovino, Jonathan Styrud, Pietro Falco +1
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 change…
A Survey of Behavior Trees in Robotics and AI
Matteo Iovino, Edvards Scukins, Jonathan Styrud +2
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 decad…