Lambrecht, J., Kästner, L., Guhl, J. and Krüger, J. (2021). Towards commissioning, resilience and added value of Augmented Reality in robotics: Overcoming technical obstacles to industrial applicability. Robotics and Computer-Integrated Manufacturing, 1-9.

Heimann, O. and Guhl, J. (2020). Industrial Robot Programming Methods: A Scoping Review. 2020 25th IEEE International Conference on Emerging Technologies and Factory Automation (ETFA), 696–703.

Guhl, J., Heimann, O. and Krüger, J. (2020). Roboterprogrammierung vereinfachen - Wie Augmented Reality den Programmierer dabei unterstützt. Fabriksoftware, 21–24.

Thiele, G., Clauß, R., Johanni, T. and Krüger, J. (2020). Energy optimal set-points for coupled systems using their topology*. 2020 7th International Conference on Control, Decision and Information Technologies (CoDIT), 1052–1057.

Bastidaz-Cruz, A., Heimann, O., Haninger, K. and Krüger, J. (2020). Information requirements and interfaces for the programming of robots in flexible manufacturing. Annals of Scientific Society for Assembly, Handling and Industrial Robotics, 183–192.

Can, A., Fisch, J., Stephan, P., Thiele, G. and Krüger, J. (2020). Automated continuous learn and improvement process of energy efficiency in manufacturing. IECON 2020 The 46th Annual Conference of the IEEE Industrial Electronics Society, 757–762.

Fey, A. and Krüger, G. T. J. (2020). System identification of a hysteresiscontrolled chiller plant using SINDy. IEEE ICSTCC 2020

Lehr, J., Sargsyan, A., Pape, M., Philipps, J. and Krüger, J. (2020). Automated Optical Inspection Using Anomaly Detection and Unsupervised Defect Clustering. 2020 25th IEEE International Conference on Emerging Technologies and Factory Automation (ETFA), 1235–1238.

Lehr, J., Schlüter, M. and Krüger, J. (2020). Decentralised identification of used exchange parts with a mobile application. International Journal of Sustainable Manufacturing, 150–164.

Kuschan, J., Goppold, J.-P., Schmidt, H. and Krüger, J. (2020). PowerGrasp: Development Aspects for Arm Support Systems - Posterpräsentation. 5th International Conference on NeuroRehabilitation (ICNR2020)

Haninger, K., Garcia, R. V. and Krüger, J. (2020). An encoder for force and vision in manipulation. ICRA Workshop on Learning of Manual Skills in Humans and Robots 2020

Klein, M., Thiele, G., Fono, A., Khorsandi, N., Schade, D. and Krüger, J. (2020). Process data based Anomaly detection in distributed energy generation using Neural Networks. 2020 International Conference on Control, Automation and Diagnosis (ICCAD), 1–5.

Kröger, O., Wollschläger, F. and Krüger, J. (2020). Low-Cost Embedded Vision for Industrial Robots: A Modular End-of-Arm Concept. 2020 25th IEEE International Conference on Emerging Technologies and Factory Automation (ETFA), 1301–1304.

Kröger, O., Guhl, J., Heimann, O., Katanacho, M., Niebuhr, C., Rudorfer, M., Özkaya, T., Wassermann, J., Hügle, J., Pannen, T. and Krüger, J. (2019). A Service-oriented Robotic Manufacturing System: Lessons Learned from Participating in the World Robot Challenge 2018. Tagungsband des 4. Kongresses Montage Handhabung Industrieroboter. Springer, 44–53.

Rudorfer, M., Krause, C., Vick, A. and Krüger, J. (2019). Dienstebasierte Architekturen für Robotersysteme. Produktion 2030 - Wandel in der Automatisierungstechnik. VDI Verlag.

Rudorfer, M., Neumann, L. and Krüger, J. (2019). Towards Learning 3d Object Detection and 6d Pose Estimation from Synthetic Data. 2019 IEEE 24th International Conference on Emerging Technologies and Factory Automation (ETFA)

Ziegler, M., Rudorfer, M., Kroischke, X., Krone, S. and Krüger, J. (2019). Point Pair Feature Matching: Evaluating Methods to Detect Simple Shapes. 12th International Conference on Computer Vision Systems (ICVS)

Vick, A., Guhl, J. and Krüger, J. (2019). Variable-Latency Networked P-PI and MPC Controller Performance for Industrial Robots. IEEE International Conference on Emerging Technologies and Factory Automation (ETFA)

Guhl, J., Nikoleizig, S., Heimann, O., Hügle, J. and Krüger, J. (2019). Combining the Advantages of On- and Offline Industrial Robot Programming. IEEE International Conference on Emerging Technologies and Factory Automation (ETFA)

Kröger, O., Guhl, J., Heimann, O., Katanacho, M., Niebuhr, C., Rudorfer, M., Özkaya, T., Wassermann, J., Hügle, J., Pannen, T. and Krüger, J. (2019). Service-oriented Robotic Manufacturing System: Lessons Learned from Participating in the World Robot Challenge 2018. Tagungsband des 4. Kongresses Montage Handhabung Industrieroboter

Rudorfer, M., Guhl, J., Hoffmann, P. and Krüger, J. (2018). Holo Pick'n'Place. 2018 IEEE 23rd International Conference on Emerging Technologies and Factory Automation (ETFA), 1219–1222.

Wassermann, J., Vonasek, V. and Vick, A. (2018). Distributed Industrial Robot Control Using Environment Perception and Parallel Path Planning Cloud Services. 2018 IEEE 23rd International Conference on Emerging Technologies and Factory Automation (ETFA), 1263–1266.

Briese, C., Vick, A. and Krüger, J. (2018). Cloud-based Active Disturbance Rejection Control for Industrial Robots. 2018 IEEE 23rd International Conference on Emerging Technologies and Factory Automation (ETFA), 559–565.

Vick, A. and Krüger, J. (2018). Using OPC UA for Distributed Industrial Robot Control. ISR 2018; 50th International Symposium on Robotics. VDE, 1–6.

Kuschan, J., Goppold, J.-P., Schmidt, H. and Krüger, J. (2018). PowerGrasp: Concept for a novel Soft-Robotic Arm Support System. ISR 2018; 50th International Symposium on Robotics, 1–6.

Rosenstrauch, M. J. and Krüger, J. (2018). Safe human robot collaboration - Operation area segmentation for dynamic adjustable distance monitoring. 2018 4th International Conference on Control, Automation and Robotics (ICCAR), 17–21.

Kalidindi, V. V., Vick, A. and Krüger, J. (2018). Maximization of operational workspace of a mobile manipulator system. 2018 4th International Conference on Control, Automation and Robotics (ICCAR), 431–436.

Guhl, J., Vick, A., Vonasek, V. and Krüger, J. (2018). Visualizing Trajectories for Industrial Robots from Sampling-based Path Planning on Mobile Devices. Tagungsband des 3. Kongresses Montage Handhabung Industrieroboter, 49–56.

Rakowski, A. and Wandzik, L. (2018). Hand Shape Recognition Using Very Deep Convolutional Neural Networks. Proceedings of the 2018 International Conference on Control and Computer Vision. ACM, 8–12.

Rosenstrauch, M. J., Pannen, T. J. and Krüger, J. (2018). Human robot collaboration - using kinect v2 for ISO/TS 15066 speed and separation monitoring. Procedia CIRP, 183–186.