M. Sc. Xin Ye

  • Embedded Systems and Sensors Engineering (ESS)
    FZI Forschungszentrum Informatik
    Haid-und-Neu-Str. 10–14
    76131 Karlsruhe, Germany

Curriculum Vitae

Studies of Mechanical Engineering and Automation at Shanghai Jiao Tong University. Bachelor thesis on the development of an autopilot for quadcopters (2016). Intership at GE Healthcare in process control (2017). Studies of Mechatronics and Information Technology at Karlsruhe Institute of Technology (KIT). Intership at Bosch Engineering GmbH on localisation and perception of railway vehicles (2019). Master thesis at IRS on decentralized planning and control in belief space for the human-machine interaction in multi-robot scenarios (2020). Member of the scientific staff of IRS since April 2021.


Cooperation of Coupled Multi-Robot Systems
By means of physical coupling between multiple cooperating robots, new systems can be created with capabilities going beyond those of individual subsystems. This is particularly important in manufacturing processes, where coupled robots provide higher stiffness and positioning resolution, resulting in a better manufacturing quality. To optimally unfold these capabilities of robots, which depend heavily on variables such as placement, joint angle configuration, and motor power, it should be determined in the manufacturing process planning, which robots are to be coupled at what time and what actions should be carried out.

The goal of this research project is therefore the development of methods planning the optimal cooperative actions for physically coupled multi-robot systems. These planning methods form a multi-layered architecture from the level of symbolic task allocation through the assignment of sub-tasks and roles towards the generation of trajectories.



Enhancement of Path Tracking Accuracy for Physically Coupled Industrial Robots by Hybrid Position-Torque Compensation
Ye, X.; Schwartz, M.; Hohmann, S.
2023. 2023 European Control Conference (ECC), 1–8, Institute of Electrical and Electronics Engineers (IEEE). doi:10.23919/ECC57647.2023.10178292
Stiffness Optimized Multi-Robot Behavior Planning using Reduced Hessian Method
Ye, X.; Schwartz, M.; Hohmann, S.
2022. IFAC-PapersOnLine, 55 (38), 55–60. doi:10.1016/j.ifacol.2023.01.133
Multi-level optimization approach for multi-robot manufacturing systems
Ye, X.; Shen, W.; Mamaev, I.; Bertram, T.; Bryg, M.; Schwartz, M.; Hohmann, S.; Asfour, T.; Hein, B.; Kipfmueller, M.; Kotschenreuther, J.
2022. 54th International Symposium on Robotics : (ISR Europe 2022) : 20-21 June 2022, Munich, Germany, 1–8, VDE Verlag
Wertstromkinematik – Produktionssysteme neu gedacht – Interdisziplinäres Forscherteam arbeitet an der Produktionstechnik der Zukunft (Teil 1)
Mühlbeier, E.; Oexle, F.; Gönnheimer, P.; Fleischer, J.; Ye, X.; Hohmann, S.; Mamaev, I.; Bertram, T.; Bryg, M.; Kotschenreuther, J.; Kipfmüller, M.; Bremer, F.; Matthiesen, S.; Arndt, T.; Schulze, V.
2021. Zeitschrift für wirtschaftlichen Fabrikbetrieb, 116 (11), 847–851. doi:10.1515/zwf-2021-0179