5 papers · 1 filter
Design and Evaluation of an Assisted Programming Interface for Behavior Trees in Robotics
Jonathan Styrud, Matteo Iovino, Rebecca Stower +4
The possibility to create reactive robot programs faster without the need for extensively trained programmers is becoming increasingly important. So far, it has not been explored h…
The First WARA Robotics Mobile Manipulation Challenge -- Lessons Learned
David Cáceres DomÃnguez, Marco Iannotta, Abhishek Kashyap +21
The first WARA Robotics Mobile Manipulation Challenge, held in December 2024 at ABB Corporate Research in VästerÃ¥s, Sweden, addressed the automation of task-intensive and repetit…
A Unified Framework for Real-Time Failure Handling in Robotics Using Vision-Language Models, Reactive Planner and Behavior Trees
Faseeh Ahmad, Hashim Ismail, Jonathan Styrud +2
Robotic systems often face execution failures due to unexpected obstacles, sensor errors, or environmental changes. Traditional failure recovery methods rely on predefined strategi…
Addressing Failures in Robotics using Vision-Based Language Models (VLMs) and Behavior Trees (BT)
Faseeh Ahmad, Jonathan Styrud, Volker Krueger
In this paper, we propose an approach that combines Vision Language Models (VLMs) and Behavior Trees (BTs) to address failures in robotics. Current robotic systems can handle known…
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…