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EMPOWER
XR-based Digital Assistant Enabling Skills Empowerment for Human-Robot Co-Working in safety-critical industrial Applications
Duration 01.10.2024 - 30.06.2025, Funded by EU - MASTER-XR Open Call
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EMPOWER aims to revolutionize workplace safety through cutting-edge XR technologies. With a clear market need and a strong value proposition, EMPOWER is confident in the ability to drive significant improvements in safety and operational efficiency across various high-risk industries. EMPOWER will contribute to the implementation of MASTER platform tools by promoting a novel pedagogical / training approach, training in real industrial applications, to be implemented in the form of an XR-based digital assistant focusing on the imperative topics: safety and ergonomics in safety-critical industrial workplaces such as HRC assembly processes. The outcomes of EMPOWER are dedicated to the training of human workforce (unskilled and advanced human operators, experts) in industrial environments to ensure the assistance and enhancement of their learning experience towards these topics in human-robot interactive applications. The envisaged modular XR-based tool comprises sub-modules for real-time visualization, digital assistant, HRC knowledge base, data gathering and safety and ergonomics assessment purposes. The modularity approach will enable the adaptability of the developed tool addressing comparable safety-critical scenarios (e.g. HRC welding processes).
Contact persons
- Z. Ghrairi ()
- A. Heuermann ()
- K. Hribernik ()
Keywords
Human-technology interaction, Process optimisation and control, Research and development, Training & qualification, AR / VR / Speech
La2-Mo2
Development of an LLM pipeline for processing and transforming natural language commands into context-dependent robot commands
Duration 01.10.2024 - 30.09.2026, Funded by BMWK
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The assembly industry faces increasing product variety and customization, which demands production flexibility, complicating Cobot automation, especially for SMEs. Despite Cobot market growth, frequent reconfiguration remains a challenge. Natural language programming could simplify this, but current models lack contextual understanding and precision.
The La2-Mo2 project aims to develop a system that uses LLMs for programming Cobots through natural language. By interpreting spoken instructions and converting them into precise robot commands, the system will make Cobot programming more accessible, reducing complexity and increasing flexibility, particularly benefiting SMEs in assembly processes.
Contact person
- D. Niermann ()
Keywords
Robotics and automation, Human-technology interaction, Manufacturing industry, Assistance systems, Machine learning / artificial intelligence
iTEK
Preparation of a Horizon Europe Project for innovative Technology Assessment for the European Disaster Response Community
Duration
01.10.2024 - 30.09.2025,
Funded by BMBF
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The number of natural disasters, such as floods and forest fires, is rising sharply both worldwide and in Europe. Targeted adaptation measures, such as the use of new technologies, are necessary to reduce the impact on the European population. It is assumed that these can reduce the impact to below the 2020 baseline, regardless of a global warming scenario. However, selecting suitable technologies is a challenge for the emergency services. Although they are experts in their field of disaster relief, they usually lack resources and experience in selecting technologies.
iTEK will prepare an EU research proposal that addresses this problem by developing, validating and demonstrating a mechanism that enables a reliable scientific evaluation of innovative technologies for different disaster response scenarios. Special focus is placed on the integration of disaster management organisations as end users.
BIBA mainly carries out research for medium-sized manufacturing and logistics companies. Although many applications and solution approaches from this sector can generally be transferred to civil security research and the field of disaster control, this domain - which is new to BIBA - brings with it a number of hurdles that BIBA is now addressing in iTEK in cooperation with the German disaster response organisation @fire, ASB Lower Saxony and SWMS Consulting.
Contact persons
- M. von Stietencron () (Project manager)
- K. Hribernik ()
Keywords
Research and development, Authorities and emergency services
iCRANE
Development of a mobile assistance system to increase the safety of heavy-duty cranes by means of sensory and optical monitoring and verification of assembly
Duration 01.09.2024 - 31.08.2026, Funded by BMWK
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The use of cranes is planned on a customer-specific basis and therefore order-related. The selection and overview of the availability of attachments at the depot or across several operating sites depends on the crane rental company's experience and individual inventory management. On the construction site, the delivery, positioning and assembly of the crane components requires a great deal of coordination. The load-bearing capacity of the crane depends in particular on the correct assembly of the attachments, which must be carried out in accordance with the previous planning of the crane deployment. Incorrect assembly jeopardizes the safety of the crane operation and, in the worst case, can lead to the crane toppling over. With this in mind, this project is developing a mobile assistance system to increase crane safety and support the coordination of employees at the depot and on the construction site. The system is divided into three sub-areas: (1) optimization of component control at the depot and construction site, (2) verification of the planning-compliant design of a mobile crane with regard to operational safety and (3) recording and analysis of loads on individual components.
Contact persons
- H. Engbers ()
- N. Jathe ()
- S. Oelker ()
- M. Quandt ()
Keywords
Digitalisation, Process optimisation and control, Services industry, Construction industry, Assistance systems, Wireless communication technologies (5G etc) and sensors
SENSOMAI
Sensor-supported AI-based benchmarking platform for the human-centred and economical selection and introduction of support systems in intralogistics processes
Duration
01.08.2024 - 31.07.2026,
Funded by BMBF
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Companies need to improve their production and intralogistics processes due to rising costs and increasing demands for flexibility. This requires a comprehensive process analysis, which is very time-consuming. Small and medium-sized enterprises (SMEs) in particular struggle to select suitable technologies for intralogistics solutions. The goal of the SENSOMAI project is to develop a user-friendly data platform that supports SMEs in selecting and implementing intralogistics systems. This platform utilizes motion data collected by sensors and analyzes it using a deep learning method. The platform identifies optimization potentials and suggests appropriate intralogistics solutions. A before-and-after comparison allows the evaluation of improvements within the company. The platform continuously enhances its recommendations through the validation of results. SENSOMAI is an innovative solution that offers technology-neutral selection options and addresses multiple user groups.
Contact persons
- L. Rolfs () (Project manager)
Keywords
Digitalisation, Process optimisation and control, Transport and logistics, Manufacturing industry, Assistance systems, Digital platforms / IoT
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Events:
November 26, 2024, Bremerhaven
BHV-Digitalisierungs-Dialog mit Drohne aus dem BIBA
December 4, 2024, Bremen
Transparent Supply Chains in Logistics
February 25, 2025, online
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