20/9/2021 17:00 - Disputation Thesis Mr. Shaowen Han

Invitation to the Presentation of Diploma Thesis

Topic: Modeling and simulation of collaborative robots with ROS

Germany has become a developed country with a strong industrial footprint as the Industry 4.0 process progresses. Robots have become increasingly popular as a result of a shrinking local workforce, rising labor expenses, and various conditions that make manual labor inappropriate owing to a demanding atmosphere and a high risk factor. Robots are currently advancing towards intelligence and are being seamlessly integrated with intelligent devices, the industrial Internet of Things, industrial control, and other sectors to create production lines with automated systems.

Industrial robots have always given the perception of being big, dangerous, and difficult to handle since their conception. Industrial robots require operators to have a specific level of specialized knowledge, which is supported by programming skills and theoretical knowledge of robotics. Industrial robots, for example, have been utilized in some large processing factories, which makes it difficult for them to extend to other markets. With the growth of technology, more and more robots are being used in businesses. So far, the company's robot requirements have included not only simple path planning functions such as welding, palletizing, and other tasks, but also the necessity for intelligent functions such as image processing, obstacle avoidance, and optimal path planning. The ROS (Robot Operating System) is widely utilized in the construction of robots, according to studies. Because of the unified node control, the system's code reuse rate and modularity may be increased to handle a variety of complicated robots by replacing traditional robotic system components with nodes in a simple approach.

Human-machine collaboration has become possible thanks to advancements in robotics. Collaborative robots have not only spawned new ideas for industry and even services, but they have also become one of the hottest research directions in robotics.

In the previous few decades, extensive research into the development of collaborative autonomous systems has been conducted, and various studies have summarized the most recent findings in this field. B. Multi-Robot Perception, Simultaneous Multi-Robot Localization and Mapping (SLAM), Distributed System, and Coordinated Exploration are just a few of the unique issues that come with using many robots. One of the most important study fields is collaborative perception, localization, and mapping, which entails merging and disseminating data observed by separate robots in order to estimate relative position and reconstruct a complete picture of the environment.

Datetime:
20.09.2021 17:00

Location:
Nürnberger Strasse 31a, 2nd floor, room 201

Due to CORONA regulations the public audience can attend the event online by using the following URL:
https://webconf.vc.dfn.de/cib-biw-verteidigungen/

Presenter:
Mr. Shaowen Han

Responsible academic staff:
Prof. Dr.-Ing. habil Karsten Menzel

Additional Supervisor:
Prof. Dr.-Ing. Frank Will
Dipl.-Ing. Robert Zickler
Stiftungsprofessur für Baumaschinen

Supervisor:
Dipl.-Ing. Nicolas Mitsch

You are welcome to attend this presentation, it will be held in German.