Publications

1. 2026APMS 2026Springer Nature

   MIRAI: Introducing a Human-in-Command Architecture for Multimodal AI-driven Human-Robot-Interaction

   J. S. I. Rieder, A. Geliev, D. Aschenbrenner

   IFIP International Conference on Advances in Production Management Systems, pp. 18–32

   A modular architecture for multimodal human–robot interaction with a person in command: XR interface, AI reasoning and two-way feedback.

   In practice The research behind MIRAI.

   doi.org/10.1007/978-3-032-38618-2_2 ↗
2. 2026APMS 2026Springer Nature

   Localizing Hallucinations in LLM-Based Robot Action Traces

   A. Geliev, J. S. I. Rieder, D. Aschenbrenner, T. Gries

   IFIP International Conference on Advances in Production Management Systems, pp. 553–567

   A diagnostic framework that traces where an LLM-planned robot action first drifts from the intended task.

   In practice Making AI-planned robot actions easier to check and to debug.

   doi.org/10.1007/978-3-032-38610-6_37 ↗
3. 2026APMS 2026Springer Nature

   What Remains of XAI in Practice? Comparing Literature-Based Methods and Operational Explainability

   A. Geliev, J. S. I. Rieder, D. Aschenbrenner, T. Gries

   IFIP International Conference on Advances in Production Management Systems, pp. 146–160

   Compares explainable-AI methods from the literature with the explanations actually used at work.

   In practice AI explanations that people on the floor can actually use.

   doi.org/10.1007/978-3-032-38618-2_10 ↗
4. 2026ACM TAASACM

   Human-Autonomous System Interaction Graphical Notation (HASIGN): How Do We Design for Human-Multi-AGV Interaction in Manufacturing Intralogistics?

   R. El Khoury, D. Zatyagov, I. Rybalskii, K. Kruusamäe, J. S. I. Rieder, et al.

   ACM Transactions on Autonomous and Adaptive Systems

   A graphical notation for designing two-way communication between people and AGV fleets in intralogistics.

   In practice Designing how people and robot fleets communicate, before anything is built.

   doi.org/10.1145/3786782 ↗
5. 2025APMS 2025Springer Nature

   Computer Vision-Based Environmental Perception for a Collaborative Robot

   J. S. I. Rieder, D. Kollmann, R. El Khoury, D. Aschenbrenner

   IFIP International Conference on Advances in Production Management Systems

   A ROS-based system using depth sensing and 3D object detection so a cobot avoids obstacles, on low-cost hardware.

   In practice Robots that notice what is around them, without an expensive sensor setup.

   doi.org/10.1007/978-3-032-03515-8_38 ↗
6. 2024CIRP CMS 2024Elsevier

   Digital Twinning Stacks: a modular communication system approach for IoT implementation in Unity3D

   J. S. I. Rieder, S. Ludwig, D. Aschenbrenner

   Procedia CIRP, vol. 130, pp. 786–790 (CIRP Conference on Manufacturing Systems)

   An open-source framework for bringing real-time data from many sources into industrial XR apps in Unity.

   In practice The foundation of FlexComm.

   doi.org/10.1016/j.procir.2024.10.165 ↗
7. 2024CLF 2024Springer Nature

   A User Study on Proximity-Based Scene Transitioning for Contextual Information Display in Learning and Smart Factories

   J. S. I. Rieder, D. Aschenbrenner

   Conference on Learning Factories (Springer LNNS), pp. 205–213

   A user study (n = 36) of four ways to switch AR content as a worker moves through a factory. Automatic, distance-based switching scored best.

   In practice The right information in the right place, without overload.

   doi.org/10.1007/978-3-031-65400-8_24 ↗
8. 2022FrontiersFrontiers

   Framework for Armature-Based 3D Shape Reconstruction of Sensorized Soft Robots in eXtended Reality

   E. I. Andrade Borges, J. S. I. Rieder, D. Aschenbrenner, R. B. N. Scharff

   Frontiers in Robotics and AI, vol. 9

   Real-time 3D shape reconstruction of sensorized soft robots, shown in AR on a HoloLens at up to 60 fps.

   In practice Making machine states visible that are otherwise hard to see.

   doi.org/10.3389/frobt.2022.810328 ↗
9. 2021IEEE VR 2021IEEE

   Effective Close-Range Accuracy Comparison of Microsoft HoloLens Generation One and Two Using Vuforia ImageTargets

   J. S. I. Rieder, D. H. van Tol, D. Aschenbrenner

   IEEE Conference on Virtual Reality and 3D User Interfaces, Abstracts and Workshops, pp. 552–553

   Benchmarking hologram placement within arm's reach: 1.11 mm mean deviation for HoloLens 2, 2.59 mm for the first generation.

   In practice Knowing when AR is precise enough for assembly, maintenance or inspection work.

   doi.org/10.1109/VRW52623.2021.00158 ↗
10. 2020IEEE AIVR 2020IEEE

    MirrorLabs: Creating Accessible Digital Twins of Robotic Production Environments with Mixed Reality

    D. Aschenbrenner, J. S. I. Rieder, D. van Tol, J. van Dam, et al.

    IEEE International Conference on Artificial Intelligence and Virtual Reality, pp. 43–48

    Connects Unity mixed-reality apps to robotic production equipment through ROS-Industrial, for live and recorded data in VR and AR.

    In practice Digital twins of robot cells that teams can explore together.

    doi.org/10.1109/AIVR50618.2020.00017 ↗

Summaries are written for this site. Full texts and abstracts are available through each DOI link.