Kategorie: ‘Robotik’
Automated robotic dismantling/disassembly – screw detection and removal for electric vehicle recycling
Fully automatic disassembly with precision!
Our new robotic system is revolutionizing the disassembly of electric car batteries. Using the Neura Lara 8 robot and the latest image processing technologies, we recognize screws fully automatically and position the robot precisely to remove them safely.
Thanks to the integration of YOLOv8 and Intel RealSense depth cameras, the system can locate screws in real time and position them optimally on its own. No manual intervention necessary – the system works completely autonomously!
Our goal: to make the recycling process safer, faster and more efficient. Fewer risks for workers and maximizing the recovery of raw materials at the same time. This is the future of the circular economy!
You can find more information about #dimonta here.
contact:
Markus Schmitz
Daniel Gossen
3D Capsule Compliant Grippers
At the ASME IDETC-CIE conference in Washington, DC, we had the opportunity to present the prototype of the “3D Capsule Compliant Gripper”. This novel surgical manipulation tool was specifically designed to make lymph node isolation even more precise and gentle.
Our approach: a capsule-like structure with flexible, shape-optimized elements that have been tailored using a hill-climbing mutation algorithm. The white “petals” of the prototype were 3D printed from PLA, the red flexible components from TPU. Thanks to the cost-effective production at our institute, we were able to create the first efficient solution on a macro scale, which serves as a proof of concept.
Contact: Estefania Hermoza Llanos
The Service Center for Advanced Robotics at IGMR is your pioneer for innovative automation projects
Ideas and support for automation in various specialist areas
Dr. Markus Schmitz is your contact for the implementation and planning of automation projects and for technical advice. Please send requests for quotations to scoar@igmr.rwth-aachen.de.
Exploration of Automated Capability Estimation for Human-Robot Teaming
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In our Human-Robot Teaming group, we have a vision that humans and robots will one day be able to work together seamlessly and intuitively in a kind of human-machine symbiosis. Recently, we implemented an exploration application to demonstrate the potential of human-robot teams. The exploration includes a human capability assessment system to evaluate human potential and derive appropriate robot actions.
In the future, robots will be able to use the identified capability deltas to find gaps between human performance and the requirements of the work process. Based on these deltas, actions will be derived that do not take work away from humans, but instead increase human capabilities until the requirements are met. Such systems will enable the human-robot team to reach a state that is similar to what is called “flow”.
contact:
Carlo Weidemann
Cross section group: Application Dynamics
The Application Dynamics team is made up of members from all IGMR research areas. This allows the skills in vibration analysis and machine dynamics to be optimally combined with the expertise and many years of experience in power transmission and robotics. This fusion of the Institute’s internal research priorities enables solutions to be found to problems that require both technical knowledge of dynamics and application-specific expertise. This cross section of knowledge is applied, for example, in the form of a needs-based investigation and exploitation of the dynamic effects of a system. The focus is on applications in robotics and gearing, but also covers all types of mechanical motion systems. The current research horizon ranges from kinematic redundancy and high-speed trajectories to the use of neural networks to extend the workspace through innovative object manipulation.
Contact: Johannes Bolk
First movement of PARAGRIP with new control unit
PARAGRIP’s control architecture has been completely redesigned in order to be fully equipped for its future tasks in multidirectional additive manufacturing (MDAM) with arc welding (WAAM). The movements of all four arms can now be planned, simulated and executed on the real robot using MoveIt in ROS2. The joint positions of the physical robot are always fed back to ROS2, allowing the integration of online planning algorithms in the future. The video shows the planning and execution of a simple test motion of the PARAGRIP.
More information about the project can be found here.
Contact: Jan Wiartalla
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: Daniel Gossen
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: Daniel Gossen
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
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
