Kategorie: ‘Robotik’
IGMR Consensus In Sensor Robot Network
Agile and freely networked assembly systems are characterised by the sensoric-supported cooperation of several mobile and stationary robots. However, the dynamic transformation of the production lines demands especial control strategies for robotic manipulators. Fast and reliable motion planning and control schemes should be developed that appropriately react to the changes in the environment and setpoints, and produce feasible motions. These assembly systems can then be mapped into the structure of a meta-model that leads to the creation of digital shadows of the factories of the future.
contact person: Amir Shahidi
Watch the video on our Youtube channel: here.
A multi-layered task sequencing approach
Cobots are highly sought by manufacturing companies in contrast to fully automated production lines, as they provide the additional benefit of flexible operations. A major hurdle with current collaborative setups is tedious setup times for efficient and robust co-working as well as poor support for random interruptions.
This project focuses on enabling autonomous collaborative operations for serial manipulators where interruptions from human agents occur at random while ensuring minimal setup times. To this end, two primary aspects that impact task execution are addressed, namely execution time and co-working as enumerated below:
- A method is developed to minimise the total distance travelled, by following the most optimal sequence for the given task while retaining online operational capabilities
- A real-time replanning and co-working algorithm for randomly interruptive environments is developed and implemented to ensure continued operation even when regions of the workspace are occluded while guaranteeing safety of the human agents in the workspace. The co-working controller operates fully autonomously.
An example of the working of the deployed on a prototype platform consisting of a collaborative UR10e arm, a stereo camera for static environment mapping and a laser scanner for mapping of dynamic obstacles is shown in the video.
contact person: Stefan Bezrucav
music: madiRFAN – Both of Us (https://pixabay.com/music/beats-madirfan-both-of-us-14037/)
Watch the video on our Youtube channel: here.
The IGMR visits the Automatica in Munich
After a long, involuntary break, IGMR was able to visit Automatica in Munich for the first time again. Together Jan Wiartalla, Amir Shahidi and Sophie Charlotte Keunecke explored various innovations and presentations and had many interesting conversations. In addition, some final year students of RWTH and IGMR presented their extremely interesting projects at Automatica and offered an exclusive view even beyond the exhibited possibilities.
On the last day of the fair, June 24. 2022, Sophie Charlotte Keunecke represented IGMR at a panel discussion on “Automation and robotics: what drives the new generation?” at the Automatica Forum. You can find the video here on the Youtube channel of Automatica.
Contacts:
Sophie Charlotte Keunecke
Jan Wiartalla
Amir Shahidi
Results of the project Next Generation
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At the end of the Next Generation project, the perspectives of all those involved were collected. As always, the focus is on people. With the inclusive workplace and the collaborative robot, the project shows new perspectives for the employment of people with multiple disabilities. HRC is an enabler for inclusion in the primary labor market! We are happy about the great project results and the video reflecting them.
For more information about the project, click here.
Contacts:
Carlo Weidemann
Elodie Hüsing
Mathias Hüsing
(Deutsch) Projekt Next Generation belegt den 3. Platz beim Digital-Preis
Transformation of workplaces by human-robot collaboration (HRC) at Ford
Since April 2021, employees with disabilities have been working successfully with a collaborative robot at the production line of Ford engine plant in cologne. The robot takes over the unergonomic pressing of the VCT solenoids into the engine cover and the employee installs the screws. During this process, humans and robots work simultaneously in the same workspace. The key findings and results of the project are summarized in the strategy paper.
Further information on the project can be found here.
Contact: Carlo Weidemann
