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KUMAR Atal Anil

University of Luxembourg > Faculty of Science, Technology and Medicine (FSTM) > Department of Engineering (DoE)

Main Referenced Co-authors
PLAPPER, Peter  (4)
SIMETH, Alexej  (2)
Abba, G. (1)
Antoine, J.F. (1)
Gallala, Abir (1)
Main Referenced Disciplines
Mechanical engineering (4)
Engineering, computing & technology: Multidisciplinary, general & others (2)

Publications (total 6)

The most downloaded
103 downloads
Gallala, A., Kumar, A. A., Hichri, B., & Plapper, P. (30 June 2022). Digital Twin for Human–Robot Interactions by Means of Industry 4.0 Enabling Technologies. Sensors, 22 (13), 1-17. doi:10.3390/s22134950 https://hdl.handle.net/10993/51811

The most cited

30 citations (Scopus®)

Gallala, A., Kumar, A. A., Hichri, B., & Plapper, P. (30 June 2022). Digital Twin for Human–Robot Interactions by Means of Industry 4.0 Enabling Technologies. Sensors, 22 (13), 1-17. doi:10.3390/s22134950 https://hdl.handle.net/10993/51811

Golli, H. E., Kumar, A. A., Antoine, J. F., & Abba, G. (August 2022). Four Cables-Suspended Parallel Robot with Reconfigurable platform [Paper presentation]. Le Congrès Français de Mécanique.

Gallala, A., Kumar, A. A., Hichri, B., & Plapper, P. (30 June 2022). Digital Twin for Human–Robot Interactions by Means of Industry 4.0 Enabling Technologies. Sensors, 22 (13), 1-17. doi:10.3390/s22134950
Peer Reviewed verified by ORBi

Kumar, A. A., Moueza, Y., Kolla, S. S. V. K., & Plapper, P. (2022). Intuitive human-robot interaction using augmented reality: A simulation study on KUKA IIWA robot. SSRN.
Peer reviewed

Simeth, A., Kumar, A. A., & Plapper. (2022). Using Artificial Intelligence to Facilitate Assembly Automation in High-Mix Low-Volume Production Scenario. Procedia CIRP, 107, 1029--1034. doi:10.1016/j.procir.2022.05.103
Peer reviewed

Miro, M., Glogowski, P., Lemmerz, K., Kuhlenkoetter, B., Gualtieri, L., Rauch, E., Gkournelos, C., Makris, S., Plapper, P., & Kumar, A. A. (2022). Simulation technology and application of safe collaborative operations in human-robot interaction. In Simulation Technology and Application of Safe Collaborative Operations in Human-Robot Interaction (pp. 1--9).
Peer reviewed

Simeth, A., Kumar, A. A., & Plapper, P. (2021). Convolutional Neural Network for detection of fluid level in bores for assembly automation. In R. Müller, P. Plapper, O. Brüls, G. A. Gerke, M. Vette-Steinkamp, ... A. Kanso (Eds.), Robotix-Academy Conference for Industrial Robotics (RACIR) 2021. Düren, Germany: Shaker.

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