Haptic Feedback System RePlaLink
The videos are also available on our Youtube channel:
Humans interact with hand-actuated products on a daily basis. Examples are car doors, manual presses, furniture doors, machine housings, fitness equipment, or reconfigurable types of furniture. The RePlaLink can be used for the simulation and haptic representation of such mechanisms based on virtual prototypes. This makes it possible to improve the development process of such systems and reduce the use of physical prototypes.
The RePlaLink consists of a servo-driven kinematic structure with a handle as haptic interface. Due to its structure, it is particularly well suited to simulate planar mechanisms. The system measures, among others, the user forces, takes them into account in a real-time simulation of the virtual mechanism and displays its reaction. This allows users to directly feel the mechanism’s haptic properties while operating the system. Users can change them interactively by modifying the mechanism’s parameters and get direct haptic feedback. This enables fast, inexpensive, and frequent validation and evaluation of haptic properties, even at early development stages. The videos introduce the structure of the RePlaLink and show the haptic simulation and synthesis of an exemplary hand-actuated mechanism.
You can find more information about the project here.
Contact person:
Jan-Lukas Archut
Mahshid Pour Ebrahimabadi
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
Participation at European Robotics Forum (ERF) Hackathon 2022
As part of the European Robotics Forum (ERF) Hackathon 2022, six IGMR students demonstrated their talent in prototyping and working with robots. The hackathon challenge was set by Lely, among others. Their ‘Juno‘ mobile robots are autonomous cylindrical platforms whose main task is to move the fencing around cows on farms to make the feed pushed into the space accessible again. The hackathon task was similar: two Juno robots had to move along the walls of two interconnected rooms at a given distance. Additional restrictions and challenges were added for extra points. The team was successful at the hackathon in Rotterdam. After a neck-and-neck race, the first place went to TU Delft. At the award ceremony, we were praised as the most cooperative team for our “constant support of other teams in design and 3D printing“. This ‘exemplary behaviour‘ is much appreciated and we look forward to taking part again next year.
Special praise goes to our students Sebastian Polzin, Frederik van Kerkom, Jonas Braun, Oleksander Kutovyi, Ali Berger and Yannik Freischlad for their efforts. We congratulate TU Delft on their well-deserved victory and are happy to have won many new friends and valuable contacts. We thank the institute management for the opportunity to participate and look forward to next year.
Contact:
Next Generation project wins 3rd Digital Prize
Together with our project partners Caritas Wertarbeit Köln e.V. and the Fachhochschule des Mittelstands (University of Applied Sciences for Small and Medium Enterprises), we accepted the third place in the Digital Prize and the prize money of 2,000 euros for the Next Generation project at the Futurium in Berlin on Tuesday, 3 May.
The Digital Prize is being awarded for the second time since 2019. According to the theme ‘Digital Inclusive’, the CBP aims to promote the use of digital technologies for people with disabilities and mental illnesses in the fields of disability assistance, psychiatry, politics, research, and business. At the end of the project, we are delighted to have received this award and would like to thank all those involved in and supporting the project. Next Generation is funded by the Stiftung Wohlfahrtspflege NRW, the Landschaftsverband Rheinland and the Caritasverband der Stadt Köln e.V.
Der an dieser Stelle eingebundene Inhalt führt Sie auf Seiten, die von der von Google betriebenen Seite YouTube - YouTube, LLC, 901 Cherry Ave., San Bruno, CA 94066, USA - zur Verfügung gestellt werden. Mit dem Aufruf des Inhalts kann YouTube Ihre IP-Adresse und die Sprache des Systems, sowie verschiedene browserspezifische Angaben ermitteln. Wenn Sie in Ihrem YouTube-Account eingeloggt sind, ermöglichen Sie YouTube, Ihr Surfverhalten direkt Ihrem persönlichen Profil zuzuordnen. Dies können Sie verhindern, indem Sie sich aus Ihrem YouTube-Account ausloggen. YouTube verwendet Cookies und Tracking-Tools. Die Datenverarbeitungsvorgänge sowie die Zwecke der Verarbeitung können direkt bei YouTube erfragt und eingesehen werden.
Contacts:
Mathias Hüsing
Carlo Weidemann
Elodie Hüsing
Integrated AI task planning and screw recognition in a production scenario
Der an dieser Stelle eingebundene Inhalt führt Sie auf Seiten, die von der von Google betriebenen Seite YouTube - YouTube, LLC, 901 Cherry Ave., San Bruno, CA 94066, USA - zur Verfügung gestellt werden. Mit dem Aufruf des Inhalts kann YouTube Ihre IP-Adresse und die Sprache des Systems, sowie verschiedene browserspezifische Angaben ermitteln. Wenn Sie in Ihrem YouTube-Account eingeloggt sind, ermöglichen Sie YouTube, Ihr Surfverhalten direkt Ihrem persönlichen Profil zuzuordnen. Dies können Sie verhindern, indem Sie sich aus Ihrem YouTube-Account ausloggen. YouTube verwendet Cookies und Tracking-Tools. Die Datenverarbeitungsvorgänge sowie die Zwecke der Verarbeitung können direkt bei YouTube erfragt und eingesehen werden.
The video is also available on our YouTube channel.
Contact:
Daniel Gossen
Workshop on environmental perception in Sharework
During the training workshop titled ‘Manufacturing Environment Perception for Effective Human-Robot Collaboration,’ we presented topics related to workspace monitoring and object recognition using simple learning methods. The presentation included a brief theoretical introduction to machine learning with random forests, an overview of the IGMR work packages in Sharework, and some tips for using these methods in your own projects. The presentation covered not only our work packages but also the contributions of our partners, particularly in the areas of ontology and motion primitives.
Der an dieser Stelle eingebundene Inhalt führt Sie auf Seiten, die von der von Google betriebenen Seite YouTube - YouTube, LLC, 901 Cherry Ave., San Bruno, CA 94066, USA - zur Verfügung gestellt werden. Mit dem Aufruf des Inhalts kann YouTube Ihre IP-Adresse und die Sprache des Systems, sowie verschiedene browserspezifische Angaben ermitteln. Wenn Sie in Ihrem YouTube-Account eingeloggt sind, ermöglichen Sie YouTube, Ihr Surfverhalten direkt Ihrem persönlichen Profil zuzuordnen. Dies können Sie verhindern, indem Sie sich aus Ihrem YouTube-Account ausloggen. YouTube verwendet Cookies und Tracking-Tools. Die Datenverarbeitungsvorgänge sowie die Zwecke der Verarbeitung können direkt bei YouTube erfragt und eingesehen werden.
Contact:
Daniel Gossen
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:
Development of new wrists for the Paragrip
In a joint research project of the IGMR together with the ISF of the RWTH Aachen University, the Multidirectional Additive Manufacturing (MDAM) of metallic components is being researched. In order to optimize the multi-armed. Paragrip robot for this application, student Raphael Hoffmann has developed an innovative concept of a new robotic wrist in his bachelor thesis. The concept enables the welding current to be conducted directly through the wristsm without the need for an additional ground cable attached to the print bed. Moreover, the wrists enable form fitting gripping of the print bed with self-centering to minimize positioning inaccuracies.
You can find the video on our YouTube channel: https://youtu.be/VdT1rjYG4D0
Contact:
Jan Wiartalla
MobiLamas
MobiLamas is a concept for free-float charging in the city of the future. In our vision, individual transport will shift from cars to public transport, complemented by so-called last-mile vehicles (e.g., electric bikes or scooters). In such environments, ecological and economical solutions are needed to enable safe and smart charging for a variety of devices. MobiLamas are intelligent mobile robots that interact with last-mile vehicles and charging stations, and safely navigate urban spaces in the presence of pedestrians.
Contact:
