activity
20202026
most citedA Survey of Behavior Trees in Robotics and AI

31 citations · 34 across the 11 of their papers we have counts for

collaborators

11 papers

cs.RO2026

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…

cs.RO2025

The First WARA Robotics Mobile Manipulation Challenge -- Lessons Learned

David Cáceres Domínguez, Marco Iannotta, Abhishek Kashyap +21

The first WARA Robotics Mobile Manipulation Challenge, held in December 2024 at ABB Corporate Research in Västerås, Sweden, addressed the automation of task-intensive and repetitiv…

cs.RO2025★ 1 cited

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…

cs.RO2024

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…

cs.RO2024★ 1 cited

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…

cs.RO2023

BeBOP -- Combining Reactive Planning and Bayesian Optimization to Solve Robotic Manipulation Tasks

Jonathan Styrud, Matthias Mayr, Erik Hellsten +2

Robotic systems for manipulation tasks are increasingly expected to be easy to configure for new tasks. While in the past, robot programs were often written statically and tuned ma…