7 papers
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…
Learning Stack-of-Tasks Management for Redundant Robots
Alessandro Adami, Aris Synodinos, Matteo Iovino +2
This paper presents a novel framework for automatically learning complete Stack-of-Tasks (SoT) controllers for redundant robotic systems, including task priorities, activation logi…
Design and Integration of Thermal and Vibrotactile Feedback for Lifelike Touch in Social Robots
Jacqueline Borgstedt, Jake Bhattacharyya, Matteo Iovino +2
Zoomorphic Socially Assistive Robots (SARs) offer an alternative source of social touch for individuals who cannot access animal companionship. However, current SARs provide only l…
Towards Autonomous Reinforcement Learning for Real-World Robotic Manipulation with Large Language Models
Niccolò Turcato, Matteo Iovino, Aris Synodinos +3
Recent advancements in Large Language Models (LLMs) and Visual Language Models (VLMs) have significantly impacted robotics, enabling high-level semantic motion planning application…
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…
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…