Prof. Dr.-Ing. Sebastian Feldmann

• Technical cybernetics (Mathematical Modelling, Simulation and Control of Complex Dynamic Systems)
• Humanoid robotics
• Mechatronic Systems (embedded systems, sensors, actuators)
• Digitalization and use of artificial intelligence [AI] in Mechanical Engineering
• Perception-based industrial quality monitoring (AI-based digital image processing)
• Collaborative real-time human-machine interaction
• Integration, commissioning and testing of Automotive Engineering drive systems
• Feedback control (systems) application of stationary and mobile robotics
• Integration of IIoT systems in automation technology
• Development of artificial intelligence for autonomous systems

BWLLM: Bit-Wise-LLM for the interpretation of machine code in the industrial 3D printing process

• Development and evaluation of a human-centered AI system [HCKIS] for use in continuous and discrete production scenarios, using an IoT-based infrastructure and methods of machine learning and artificial intelligence.
  The aim of the scheme, enterprise, goal is to intensify cooperation, cooperative venture, collaboration in the field (of) networked artificial intelligence and to create opportunities for cooperation and links to other disciplines at the institution of higher education. As part of, within the framework of the scheme, a joint technology carrier is to be set up on which, in particular, methods for real-time-based process analysis and quality assurance using artificial intelligence [AI] will be demonstrated. [RegioWIN2020]
• HYBRID-3D - IntelliPrint 3D - AI-based process optimization for real-time-based control in the VFGF 3D printing process
  The aim of the project is the combined development of a new type of process analytics and, based on this, an adaptive adjustment of process control in the 3D printing of large-format plastic components using VFGF as well as a cost model for a circular product life cycle by recycling scrap material and/or discarded old components. The advantages of the process, procedure are to be demonstrated using the example of inhomogeneous printing granulate.
  [BMWK/ZIM]
• KIWeld - Path optimization of a collaborative welding process, procedure using collaborative robotics [CoBot] and artificial intelligence [KI]
  As part of the framework of the industry-funded research project, a camera-based real-time image evaluation was coupled with a collaborative robot using an algorithm for neural path deviation prediction. As part of the initial research project, a perception-based AI system was used for the first time under the strong light emissions, smoke development and liquid metal emissions that occur in the welding process. The control concept enables members of staff (pl. staff), employees (pl. employees) of manufacturing companies to enter into direct human-machine interaction with the system and to enrich manual work steps with artificial intelligence [AI] methods. The knowledge gained is already being used by regional companies in the cooperation network. [SMEs and artificial intelligence]
• Development of the Impulse 3 drive for electrically powered cargo bikes
  In collaboration, cooperation with industrial partners, a 125 Nm drive for cargo bikes is currently being developed to market maturity. As part of the collaboration, the development process is being supported mechanically and Mechatronics by the Mechanical Engineering department at Aalen University of Applied Sciences. Accordingly to the European Union [EU] regulations, load and endurance tests up to 20,000 km are carried out on the biomechanical e-bike test bench at the institution of higher education.
• Cephyre - Cybernetic Engineering and Production Hyperflex Resilient Environment
  An innovative production process using a multimodal robot production cell enables high-quality, flexible and climate-positive solutions for series production. The manufacturing concept offers maximum flexibility with regard to the production of diverse and changing products.
• Development of a biomechanically driven eBike concept
  The project is funded by the SME innovation program of the federal state of North Rhine-Westphalia - MID analysis. As part of the multi-stage funding, an innovative prototype eBike for commuters is being developed within the framework of a research project in collaboration, cooperation with the Aalen University of Applied Sciences and the company from Solingen in North Rhine-Westphalia. The concept is based on a cable-based, biomechanical drive concept that relieves the joints and makes the mechanical introduction of the rider's movement force into the drive train more ergonomic and efficient. The aim here is to further promote the attractiveness and use of alternative mobility concepts.
• BioBike - Biomechanical test stand for carrying out endurance tests with eBikes, pedelecs and cargo bikes
• IQ-Control - Use of artificial intelligence to identify commissions and missing parts at an early stage (European Union/Horizon 2020), project video
• SimKI - Use of artificial intelligence in industrial production, link
• SmartPro - Development of smart materials for electromagnetic energy converters (drive technology)
• Design, draft and testing of new vehicle concepts and new multimodal mobility concepts - the DesignStudio NRW, URL: http://nrw-car-2030.de/
• Medicine assistance robot FAROMR, URL: https://www.faromir.de
• Humanoid robot for demonstrating aspects of non-verbal communication HUMECH, URL: www.HUMECH.de
• Cologne-Mobil - project to test battery-powered vehicles and the associated infrastructure, URL: https://www.uni-due.de/zlv/cologne-mobil.php
• Anthropomorphic tutors for learning processes in teaching/learning scenarios supported by Web 2.0 technology, URL: https://www.uni-due.de/virtuelletutoren/ (BMBF)
• Barrier-free networking and optimization of control and monitoring processes in industry via a cloud-based process, procedure (BMWI)