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  4. AI Robotics AI Robotics

AI Robotics Lab Advancing the production sector with modern robotics and AI technologies.

Ever-increasing quality requirements and production costs are putting the Swiss industry sector under strain and lead to an increased demand for automation. Current developments in the fields of robotics and AI have the potential to enhance and optimize production processes

Small and medium enterprises in particular struggle to keep up with the latest developments and to accurately assess new technologies and implement them in their field of activity. With its AI Robotics lab, the research team of the Lucerne University of Applied Sciences and Arts helps to introduce these new technologies to companies.

Networked production, which is a key success factor for the Swiss industry sector, heavily relies on AI and robotics today. The combination of robotics technologies and AI methods enables robots to independently acquire skills and knowledge through machine learning. This is an essential step on the way to reaching the degree of flexibility and autonomy required to adapt to new environments and react to new situations.

Automation solutions can succeed on the market if they are flexible and convertible with little effort. However, particularly for SMEs, AI and robotics technologies are still mostly uncharted territory. This is where the AI Robotics research team comes in: it strives to raise awareness and show concrete applications.

AI Robotics Team

  • Portrait

    Florian Herzog
    Lecturer

    Florian Herzog

    Personal profile

  • Portrait

    Björn Jensen
    Head AI Robotics Lab

    Björn Jensen

    Personal profile

  • Portrait

    Stefan Siegler
    Research Assistant

    Stefan Siegler

    Personal profile

  • Portrait

    Nino Ricchizzi
    Lecturer

    Nino Ricchizzi

    Personal profile

Student Assistants

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Selected Publications

Saller, Sophia, Jana Koehler, and Andreas Karrenbauer. "A Systematic Review of Approximability Results for Traveling Salesman Problems leveraging the TSP-T3CO Definition Scheme." arXiv preprint arXiv:2311.00604 (2023).

Koehler, Jana, Josef Bürgler, Urs Fontana, Etienne Fux, Florian Herzog, Marc Pouly, Sophia Saller, Anastasia Salyaeva, Peter Scheiblechner and Kai Waelti. "Cable tree wiring-benchmarking solvers on a real-world scheduling problem with a variety of precedence constraints." Constraints 26.1 (2021): 56-106.

Koehler, Jana. "Business process innovation with artificial intelligence: Levering benefits and controlling operational risks." European Business & Management 4.2 (2018): 55-66.

Guangbo Hao, Haiyang Li, Abhilash Nayak, and Stephane Caro. "Design of a compliant gripper with multimode jaws." Journal of Mechanisms and Robotics 10, no. 3 (2018): 031005.

more

Abhilash Nayak, Stéphane Caro, and Philippe Wenger. "Comparison of 3-[PP] S parallel manipulators based on their singularity free orientation workspace, parasitic motions and complexity." Mechanism and Machine Theory 129 (2018): 293-315.

Beatriz Pascual-Escudero, Abhilash Nayak, Sébastien Briot, Olivier Kermorgant, Philippe Martinet, Mohab Safey El Din, and François Chaumette. "Complete singularity analysis for the perspective-four-point problem." International Journal of Computer Vision 129, no. 4 (2021): 1217-1237.

Becker, Marcelo, et al. "2D laser-based probabilistic motion tracking in urban-like environments." Journal of the Brazilian Society of Mechanical Sciences and Engineering 31 (2009): 83-96.

Jensen, Björn, and Roland Siegwart. "Scan alignment with probabilistic distance metric." 2004 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)(IEEE Cat. No. 04CH37566). Vol. 3. IEEE, 2004.

Jensen, Björn, Roland Philippsen, and Roland Siegwart. "Motion detection and path planning in dynamic environments." Workshop Proceedings Reasoning with Uncertainty in Robotics, International Joint Conference on Artificial Intelligence (IJCAI). 2003.

Siegwart, Roland, et al. "Robox at Expo. 02: A large-scale installation of personal robots." Robotics and Autonomous Systems 42.3-4 (2003): 203-222.

Your contact person

Prof. Dr. Björn Jensen

Head AI Robotics Lab

+41 41 349 35 76

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This Lab conducts research in the following focal areas:

  • Artificial Intelligence
  • Distributed Systems

Degree Programmes

  • Major in AI Robotics in the Degree Bachelor in Information Technology (Only in German)
  • Master of Science in Engineering in the Profile Mechatronics and Automation

Continuing and Executive Education

  • CAS Data Engineering and Applied Data Science
  • CAS Machine Learning
  • SAS Deep Learning

Information Science Blog

  • "AI simulations will lead to better solutions" (in German)
  • We'll show these robots! (in German)
  • How do older people accept robots? (in German)
  • "The machine should remain recognizable as a machine" (in German)
  • A living room for robots (in German)

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Lucerne School of Computer Science and Information Technology


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