AIConfPaper
← Search

Dimitrios Chrysostomou

7 accepted papers

2026

Estimating Trust in Human-Robot Collaboration through Behavioral Indicators and Explainability

Giulio Campagna, Marta Lagomarsino, Marta Lorenzini, Dimitrios Chrysostomou, Matthias Rehm, Arash Ajoudani
ICRA 2026poster

Industry 5.0 focuses on human-centric collaboration between humans and robots, prioritizing safety, comfort, and trust. This study introduces a data-driven framework to assess trust using behavioral indicators. The framework employs a Preference-Based Optimization algorithm to generate trust-enhanci…

Cited by 0Source ↗PDF ↗Scholar ↗
2025

Estimating Trust in Human-Robot Collaboration Through Behavioral Indicators and Explainability

Giulio Campagna, Marta Lagomarsino, Marta Lorenzini, Dimitrios Chrysostomou, Matthias Rehm, Arash Ajoudani
RA-L 2025

Industry 5.0 focuses on human-centric collaboration between humans and robots, prioritizing safety, comfort, and trust. This study introduces a data-driven framework to assess trust using behavioral indicators. The framework employs a Preference-Based Optimization algorithm to generate trust-enhanci

Cited by 3Source ↗Scholar ↗
2025

Fostering Trust Through Gesture and Voice-Controlled Robot Trajectories in Industrial Human-Robot Collaboration

Giulio Campagna, Christoph Frommel, Tobias Haase, Alberto Gottardi, Enrico Villagrossi, Dimitrios Chrysostomou +1
ICRA 2025

In the Industry 5.0 era, the focus shifts from basic automation to fostering collaboration between humans and robots. Trust is crucial in this new paradigm, enabling smooth interaction, especially for users with limited robotics knowledge. This study presents a novel framework that uses human hand g

Cited by 3Source ↗Scholar ↗
2024

Enabling passivity for Cartesian workspace restrictions

Sebastian Hjorth, Johannes Lachner, Arash Ajoudani, Dimitrios Chrysostomou
ICRA 2024poster

An emerging trend in the field of human-robot collaboration is the disassembly of end-of-life products. Safety is a crucial requirement of the disassembly process since worn-out or damaged products could break, possibly resulting in dangerous behavior of the robot. To protect the user from such beha…

Cited by 2Source ↗Scholar ↗
2024

Promoting Trust in Industrial Human-Robot Collaboration Through Preference-Based Optimization

Giulio Campagna, Marta Lagomarsino, Marta Lorenzini, Dimitrios Chrysostomou, Matthias Rehm, Arash Ajoudani
RA-L 2024

This letter proposes a novel theoretical framework for promoting trust in human-robot collaboration (HRC). The framework exploits Preference-Based Optimization (PBO) and focuses on three key interaction parameters: robot velocity profile, human-robot separation distance, and vertical proximity to th

Cited by 23Source ↗Scholar ↗
2023

Design of an Energy-Aware Cartesian Impedance Controller for Collaborative Disassembly

Sebastian Hjorth, Edoardo Lamon, Dimitrios Chrysostomou, Arash Ajoudani
ICRA 2023poster

Human-robot collaborative disassembly is an emerging trend in the sustainable recycling process of electronic and mechanical products. It requires the use of advanced technologies to assist workers in repetitive physical tasks and deal with creaky and potentially damaged components. Nevertheless, wh…

Cited by 13Source ↗Scholar ↗
2020

An Energy-based Approach for the Integration of Collaborative Redundant Robots in Restricted Work Environments

Sebastian Hjorth, Johannes Lachner, Stefano Stramigioli, Ole Madsen, Dimitrios Chrysostomou
IROS 2020poster

To this day, most robots are installed behind safety fences, separated from the human. New use-case scenarios demand for collaborative robots, e.g. to assist the human with physically challenging tasks. These robots are mainly installed in work-environments with limited space, e.g. existing producti…

Cited by 18Source ↗Scholar ↗