Objective
ASSEMIC is devoted to training and research in handling and assembly at the micro-dimension, involving advanced methods and tools and providing a multidisciplinary, complementary approach. This is to be achieved by combining the research competence of R&D centres and universities, with the application oriented view from SMEs and industrial partners. The scientific and technical complementarity required by micro-handling and assembly -an intrinsically multidisciplinary topic- will be ensured by merging the partners expertise in fields as design of hybrid MEMS and micro-tools, material physics and tribology, laser technology, advanced control techniques and artificial intelligence, etc. Following workpackages have been defined: 1. High resolution positioning systems, micromotors and microrobots. 2. Advanced tools and control for microhandling (visual/force feedback, haptic interfaces, etc.) 3. Microassembly tools and strategies (self-assembly, bonding, soldering ) 4. Quality management for industrial manufacturability 5. Know-how management (e-learning, technology transfer and dissemination, etc.) Special focus will be placed in training and dissemination, including workshops, open-door days, summer schools, newsletters and e-learning. Optimized and cost efficient handling and assembly of hybrid Microsystems keeps being a challenge, as assembly and packaging constitutes still a great part of MEMS manufacturing costs. ASSEMIC will raise the European technological competence and merge the research effort in this field, by multidisciplinary training both early-stage and experienced researchers in highly qualified research centres and universities, developing research and providing the practical focus of SMEs and industrial partners.
Fields of science (EuroSciVoc)
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques. See: https://op.europa.eu/en/web/eu-vocabularies/euroscivoc.
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques. See: https://op.europa.eu/en/web/eu-vocabularies/euroscivoc.
- engineering and technologyelectrical engineering, electronic engineering, information engineeringelectronic engineeringsensorsbiosensors
- natural sciencescomputer and information sciencesartificial intelligencecomputer vision
- natural sciencescomputer and information sciencesartificial intelligencemachine learningreinforcement learning
- engineering and technologyother engineering and technologiesmicrotechnology
- engineering and technologymechanical engineeringtribology
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Keywords
Call for proposal
FP6-2002-MOBILITY-1
See other projects for this call
Funding Scheme
RTN - Marie Curie actions-Research Training NetworksCoordinator
WIEN
Austria