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Matthias Rehm

8 accepted papers

2026

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

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…

2025

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

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 3SourceScholar
2025

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

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 3SourceScholar
2024

Automatic Trust Estimation From Movement Data in Industrial Human-Robot Collaboration Based on Deep Learning

ICRA 2024poster

Trust in automation is usually assessed with post-interaction questionnaires. For human robot collaboration it would be beneficial to assess the trust level during the interaction to adjust the robot’s collaboration behavior to the user expectations. In this paper we investigate if trust can be esti…

Cited by 2SourceScholar
2024

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

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 23SourceScholar
2024

The effect of rejection strategy on trust and shopping choices in robot-assisted shopping *

ICRA 2024poster

In this paper, we investigate how a customer-facing service robot can support decision making in shopping interactions. In this role, a robot needs sometimes to reject a customer’s choice. Thus, we investigate different rejection strategies with the goal of changing customer behavior. The implemente…

Cited by 3SourceScholar
2024

Usability Evaluation Framework for Close-Proximity Collaboration With Large Industrial Manipulators

ICRA 2024poster

Our goal is to design a framework for holistic evaluation of human-robot collaboration systems. To this end we utilize several standardized questionnaires administered while participants perform collaborative tasks in robot work cells. We used Standard Usability Scale and the Usability metric for us…

Cited by 4SourceScholar
2018

Developing a New Brand of Culturally-Aware Personal Robots Based on Local Cultural Practices in the Danish Health Care System

IROS 2018poster

In earlier work it has been shown how culture can be used as a parameter influencing human robot interaction in general (e.g. [1]). While this is a good starting point, in our work with concrete application fields we encounter that culture in its usual definition as national culture (e.g. [2]; [3])…

Cited by 16SourceScholar