Project Details
Description
Artificial intelligence (AI) and digitalisation play a big role in many different sectors, offering countless benefits and improved optimisation processes. This has inspired many companies to search for novel ways to integrate them. However, despite all the advantages they offer, AI-based technologies are not easy to implement as they require experience and special know-how from operators.
The EU-funded Fluently project aims to change this by developing a novel intelligent interface unit. The smart interface will allow machines to interpret speech content and tone more accurately and convert gestures into instructions, while also focusing on improved worker well-being. The project’s solution also includes the Robo-Gym, providing the first environment in Europe where human–robot interactive training can take place.
This project has received funding from the European Union's Horizon 2020 research and innovation programme under grant agreement No 958417.
Contact:
Professor Norbert Krüger at [email protected].
Project partners:
More than 20 European partners, working together in a consortium.
The EU-funded Fluently project aims to change this by developing a novel intelligent interface unit. The smart interface will allow machines to interpret speech content and tone more accurately and convert gestures into instructions, while also focusing on improved worker well-being. The project’s solution also includes the Robo-Gym, providing the first environment in Europe where human–robot interactive training can take place.
This project has received funding from the European Union's Horizon 2020 research and innovation programme under grant agreement No 958417.
Contact:
Professor Norbert Krüger at [email protected].
Project partners:
More than 20 European partners, working together in a consortium.
| Acronym | Fluently |
|---|---|
| Status | Finished |
| Effective start/end date | 01/06/2022 → 31/05/2025 |
Collaborative partners
- University of Applied Sciences and Arts of Southern Switzerland
- Eindhoven University of Technology
- University of Bath
- German Research Center for Artificial Intelligence (DFKI)
- Polytechnic University of Turin
- Odense Robotics
- MCH Tronics
- FANUC Deutschland GmbH
- REPLY (lead)
- TRANSITION TECHNOLOGIES PSC
- STMicroelectronics
- Morphica
- Malta Electromobility Manufacturing
- Gleechi
- Competence Industry Manufacturing 4.0
- IRIDA Labs
- Prima Additive
- Waseda University
- Iris SRL
- Bitbrain
- SDU Robotics
Fingerprint
Explore the research topics touched on by this project. These labels are generated based on the underlying awards/grants. Together they form a unique fingerprint.
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A Data-Driven Learning-from-Demonstration Framework for Robotic Grasping
Pedersen, L., Costa Lopes Lindby, E. D., Langaa, J., Bodenhagen, L. & Kramberger, A., 2026, 2026 IEEE/SICE International Symposium on System Integration. p. 524-530Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
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Robot Reasoning Architecture for Transparent Collaborative Disassembly
Pietras, E., Kiefer, B., Borzone, G., Krüger, N. & Bodenhagen, L., 2026, (Accepted/In press) Social Robotics + ART: 17th International Conference, ICSR+ART 2026, London, United Kingdom, July 1-4, 2026, Proceedings. Springer, (Lecture Notes in Computer Science).Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
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Toward Human-Robot Co-Learning in Manufacturing
Pietras, E., Salcedo-Gil, R., Borzone, G., Rispens, S. & Bodenhagen, L., 2. Jan 2026, Social Robotics + AI: 17th International Conference, ICSR+AI 2025, Naples, Italy, September 10–12, 2025, Proceedings, Part II. Springer, p. 650–657 (Lecture Notes in Computer Science, Vol. 16132).Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
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A General Peg-in-Hole Assembly Policy Based on Domain Randomized Reinforcement Learning
Liu, X., Kramberger, A. & Bodenhagen, L., 2025, Advances in Service and Industrial Robotics, RAAD 2025. Jovanovic, K., Rodic, A. & Rakovic, M. (eds.). Springer Science+Business Media, p. 28-36 (Mechanisms and Machine Science, Vol. 190).Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
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Large Language Model Framework for Intuitive Interaction with Autonomous Mobile Robots
Durow, F., Gjerlund, R., Kounalakis, T. & Bodenhagen, L., 2025, Social Robotics: 16th International Conference, ICSR + AI 2024, Odense, Denmark, October 23-26, 2024, Proceedings, Part I. Palinko, O., Bodenhagen, L., Cabibihan, J.-J., Fischer, K. & Sabanovic, S. (eds.). Springer Nature, p. 23-30 (Lecture Notes in Computer Science, Vol. 15561).Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
Open Access
Related activities
- 1 Organisation or participation in workshops, courses or seminars
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ICRA 2024 workshop: Dynamic Duos: Human-Robot Co-Worker Adaptation in Manufacturing.
Bodenhagen, L. (Participant) & Ulfert-Blank, A.-S. (Participant)
13. May 2024Activity: Attending an event › Organisation or participation in workshops, courses or seminars
Related projects
- 1 Active
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PhD project: Behavior Adaptation for Human-Robot Collaboration
Pietras, E. T. J. S. (PhD student) & Bodenhagen, L. (Principal supervisor)
15/10/2023 → 14/10/2026
Project: PhD Project