8 citations · 12 across the 10 of their papers we have counts for
6 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…
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…
A Multimodal Data Set of Human Handovers with Design Implications for Human-Robot Handovers
Parag Khanna, Mårten Björkman, Christian Smith
Handovers are basic yet sophisticated motor tasks performed seamlessly by humans. They are among the most common activities in our daily lives and social environments. This makes m…
User Study Exploring the Role of Explanation of Failures by Robots in Human Robot Collaboration Tasks
Parag Khanna, Elmira Yadollahi, Mårten Björkman +2
Despite great advances in what robots can do, they still experience failures in human-robot collaborative tasks due to high randomness in unstructured human environments. Moreover,…
Data-driven Grip Force Variation in Robot-Human Handovers
Parag Khanna, Mårten Björkman, Christian Smith
Handovers frequently occur in our social environments, making it imperative for a collaborative robotic system to master the skill of handover. In this work, we aim to investigate…
A Sensorimotor Reinforcement Learning Framework for Physical Human-Robot Interaction
Ali Ghadirzadeh, Judith Bütepage, Atsuto Maki +2
Modeling of physical human-robot collaborations is generally a challenging problem due to the unpredictive nature of human behavior. To address this issue, we present a data-effici…