Activities per year
Project Details
Description
Trust has been shown to be a crucial factor in the efficient use of automation.
Trust in Human-Robot Interaction increases the level of complexity due to the physical embodiment of the robot that shares the same space of the operator.
Research in trust has so far been restricted to post-hoc measurements of whole interaction episodes. This is useful as an analytical tool to statically optimize the system design, but does not support trust adjustment during the interaction to ensure efficient task completion.
The project was developed to achieve three objectives: (i) identification of trust indicators in industrial Human-Robot Collaboration scenario, (ii) sensor data collection and training of machine learning models for dynamic real-time trust prediction, (iii) adapting robot behavior according to the level of trust predicted and thus ensuring efficient use of the robotic system.
Trust in Human-Robot Interaction increases the level of complexity due to the physical embodiment of the robot that shares the same space of the operator.
Research in trust has so far been restricted to post-hoc measurements of whole interaction episodes. This is useful as an analytical tool to statically optimize the system design, but does not support trust adjustment during the interaction to ensure efficient task completion.
The project was developed to achieve three objectives: (i) identification of trust indicators in industrial Human-Robot Collaboration scenario, (ii) sensor data collection and training of machine learning models for dynamic real-time trust prediction, (iii) adapting robot behavior according to the level of trust predicted and thus ensuring efficient use of the robotic system.
Status | Finished |
---|---|
Effective start/end date | 15/01/2022 → 14/01/2025 |
UN Sustainable Development Goals
In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. This project contributes towards the following SDG(s):
Keywords
- Human-Robot Collaboration
- Human Robot Interaction
- Collaborative Robotics
- Machine Learning
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Activities
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German Aerospace Center
Campagna, G. (Visiting researcher)
1 May 2024 → 30 Jun 2024Activity: Visiting another research institution
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ASIMOV: Adaptive Social Interaction based on user’s Mental mOdels and behaVior in HRI
Campagna, G. (Participant)
4 Dec 2023Activity: Attending an event › Organisation or participation in workshops, courses, seminars, exhibitions or similar
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Italian Institute of Technology
Campagna, G. (Visiting researcher)
1 Oct 2023 → 29 Feb 2024Activity: Visiting another research institution
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A Systematic Review of Trust Assessments in Human-Robot Interaction
Campagna, G. & Rehm, M., 2025, In: ACM Transactions on Human-Robot Interaction. 14, 2, 35 p., 30.Research output: Contribution to journal › Review article › peer-review
Open AccessFile142 Downloads (Pure) -
Data-Driven Trust Assessment in Human-Robot Collaboration for Industrial Applications
Campagna, G., 2025, Aalborg University Open Publishing.Research output: PhD thesis
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Fostering Trust through Gesture and Voice-Controlled Robot Trajectories in Industrial Human-Robot Collaboration
Campagna, G., Frommel, C., Haase, T., Gottardi, A., Villagrossi, E., Chrysostomou, D. & Rehm, M., 2025, (Accepted/In press) 2025 International Conference on Robotics and Automation (ICRA). IEEE (Institute of Electrical and Electronics Engineers)Research output: Contribution to book/anthology/report/conference proceeding › Article in proceeding › Research › peer-review
Open AccessFile99 Downloads (Pure)