Laboratory for Autonomous Systems and Mobile Robotics


The Laboratory for Autonomous Systems and Mobile Robotics (LAMOR), directed by Prof. Ivan Petrović of the University of Zagreb Faculty of Electrical Engineering and Computing, has a long tradition in research of advanced control strategies and estimation techniques for a variety of applications with a strong emphasis on autonomous navigation of ground and aerial robots in unknown and dynamic environments. Our methodology relies on a strong coupling between theoretical research, algorithm development, experimental evaluations, and a healthy dose of serendipity. LAMOR's research activity is organized around three major axes: Motion Planning and Control, Simultaneous Localization and Mapping, and Detection and Tracking of Moving Objects. Our laboratory is equipped with state-of-the-art ground and aerial robotic platforms, advanced perception sensors and a motion capture covered arena.


Invitation to the lecture:...

LAMOR, IEEE Croatia Robotics and Automation Chapter and ZCI-DATACROSS invite you to the lecture:

"Multi-Modal User Interfaces for Intuitive Human-Robot Interaction"

which will be held by Michael Mende, Karlsruhe Institute of Technology, Germany. The lecture will take place on Friday, July 20, 2018 at 11.30h, in the Seminar room of the Department of Control and Computer Engineering of the Faculty of Electrical Engineering and Computing.

You can find more about the lecturer and the seminar in the detailed news content.

Abstract:

Nowadays, robots are essential in large scale manufacturing and are becoming a fundamental part in almost every aspect of future industrial scenarios. Robot programming is still a very time intensive task. Though most of the programming is done offline with CAD tools, online programming is necessary for corrections or in cases of highly individual parts in small and medium businesses. To allow for intuitive interaction with the robot, new user devices were developed that support the user during programming and definition of tasks with multi-modal feedback. Especially, a new user interface is presented that is especially suited for robot machining tasks, where flexible handling requires intuitive and fast programming. The concept is based on separation of the task, the sensor referenced model and the acoompanying process model. Based on a parametrization- and following programming step multiple process models can be covered. This is shown  with the exemplary application deburring of edges of metal casting.

Bio:

Michael Mende received his degree in computer science at KIT. He is a member of scientific staff in the Intelligent Industrial Robots group of Prof. Hein at IAR-IPR. His research topics are intutive robot programming, multimodal user devices and sensor based path planning and control. Other topics of research not related to his Ph.D. thesis include surface coverage planning and model free grasp planning.

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