Prof. Dr.-Ing. Ali Kanso

Research

• Industrial robotics and human-robot interaction
• Accuracy assessment of robots
• Intelligent programming methods for path planning
• Force-controlled robot applications (sensitive robotics)

Vita

• Since 2023 at THI
• 2021 - 2022: Group leader industrial robotics and human-robot cooperation at ZeMA gGmbH (research area for assembly systems)
• 2020 - 2022: Project manager Robotix Academy
• 2015 - 2022: Research associate at ZeMA gGmbH (Assembly Systems Research Department)
• 2017 - 2021: PhD at Saarland University, dissertation title: Conception and realisation of a sensitive assembly task based on a handling device and intelligent sensor technology for the winding process of endless rubber seals
• 2021: Lecturer in the subject of measurement and control technology at Trier University of Applied Sciences, Environmental Campus Birkenfeld

Publications

• A. Kanso, X. Xu, K. Rekik and R. Müller, "A concept to solve Bin Picking problem in the robotics based on CAD Model and Measurement data," 2022 10th International Conference on Systems and Control (ICSC), Marseille, France, 2022, pp. 201-206, doi: 10.1109/ICSC57768.2022.9993919.
• NK. Gajjar, K. Rekik, A. Kanso and R. Müller, "Human intention and workspace recognition for collaborative assembly, " IFAC-PapersOnLine, Volume 55, Issue 10, 2022, Pages 365-370, ISSN 2405-8963, https://doi.org/10.1016/j.ifacol.2022.09.420.
• G. Silva, K. Rekik, A. Kanso and L. Schnitman, "Multi-perspective human robot interaction through an augmented video interface supported by deep learning," 2022 31st IEEE International Conference on Robot and Human Interactive Communication (RO-MAN), Napoli, Italy, 2022, pp. 1168-1173, doi: 10.1109/RO-MAN53752.2022.9900671.
• R. Müller, A. Kanso and X. Xu, "Intelligent Robotic System for Solving Dissection Puzzle Combining K-Nearest Neighbors, Decision Tree and Deep Q Network," 2021 IEEE 17th International Conference on Automation Science and Engineering (CASE), Lyon, France, 2021, pp. 577-584, doi: 10.1109/CASE49439.2021.9551470.
• A. Kanso, M. Vette-Steinkamp and R. Müller, "Development of a Sensitive Winding Application Based on a Serial Robot and Integrated Torque Sensors," Ratchev, S. (eds) Smart Technologies for Precision Assembly. IPAS 2020. IFIP Advances in Information and Communication Technology, Volume 620. Springer, Cham. https://doi.org/10.1007/978-3-030-72632-4_9
• A. Blum, A. Kanso, M. Scholer and R. Müller, "Untersuchung eines Prozessroboters als Messroboter in der Montage am Beispiel der Identifikation der dynamischen Parameter eines Roboterwerkzeuges," tm-Technisches Messen, Volume 87, No. 9, 2020, Pages 564-574, Publisher Oldenbourg Wissenschaftsverlag, https://doi.org/10.1515/teme-2019-0140.
• R. Müller, M. Vette-Steinkamp, A. Kanso and T. Masiak, "Collaboration in a Hybrid Team of Human and Robot for Improving Working Conditions in an Aircraft Riveting Process," SAE Technical Paper, Volume 1, 2019, https://doi.org/10.4271/2019-01-1372.
• R. Müller, M. Vette-Steinkamp, A. Kanso,  "Position and orientation calibration of a 2D laser line sensor using closed-form least-squares solution," IFAC-PapersOnLine, Volume 52, Issue 13, 2019, Pages 689-694, ISSN 2405-8963, https://doi.org/10.1016/j.ifacol.2019.11.136.