Dipl.-Ing. Adrian Herbst
Phone: +49 631 205 4057
Fax: +49 631 205 4205
Building/Room: 12/330
Research areas
Object recognition in (mobile) robotics
Description:
Using cameras, objects can be detected visually by means of different methods and those objects can be then grasped with the help of a robot arm. Thereby, both image processing methods as well as the estimation of system variables (e.g. with the help of a Kalman filter) play an important role. Furthermore, especially in mobile robotics, the trajectory planning is of fundamental importance.
Distributed optimization of hybrid systems
Description:
Hybrid systems exhibit both continuous and event-discrete dynamics. This interaction presents additional challenges for controlling such systems. We are particularly concerning a distributed configuration of the optimization problem. This reduces the amount of calculation and communication required for practical applications and guarantees the performance of the entire system.
Publications
A. Herbst, F. Staller, S. Liu: Design of a vision-based object tracker for the automated capture of objects by a manipulator, Joint 9th IFAC Symposium on Mechatronic Systems and 16th International Conference on Motion and Vibration Control (MS-MoViC 2022), Los Angeles/USA (accepted)