WHO WE ARE
We are the INVERSE consortium
The INVERSE consortium is made up of 12 academic and industrial partners from 8 different countries across Europe.
Leveraging a diverse range of expertise spanning sectors such as aerospace, construction, and logistics, the consortium is poised to achieve the overarching objective of equipping robots with essential cognitive abilities using a continual learning methodology.
About
Boğaziçi University is a top Turkish public university active in a variety of research domains including computer science, cognitive science, physics, linguistics and history.”
Role in INVERSE
Boğaziçi University is contributing in several technical tasks and is mainly leading the extraction of task-relevant parameters and neuro-symbolic operators.
About
Centro Ricerche FIAT is an Italian research organisation focused on research and innovation in the automotive industry.
Role in INVERSE
Centro Ricerche FIAT is involved in several technical tasks within the INVERSE project. Contributing for example in the demonstrator set-up as a task leader.
About
C.R.E.A.T.E is a research Consortium inf the field of Energy, Automation and Electromagnetic Technologies that regroups 7 industrial and academic partners.
Role in INVERSE
C.R.E.A.T.E is contributing to many tasks of the INVERSE project and is responsible for the execution and monitoring of direct and inverse tasks.
About
Civitta Foundation is a non profit entity, based in Vilnius, Lithuania, which helps companies with research commercialisation, communication, dissemination and network building activities, as well as providing assistance with ecosystem support building and managing various training & acceleration programmes.
Role in INVERSE
Civitta Foundation supports dissemination and commercialisation activities.
About
DLR is the Federal Republic of Germany’s research centre for aeronautics and space.
Role in INVERSE
DLR plays a key role in the definition of geometric relations between assembly parts, knowledge representations, user interfaces and adaptive motion primitives for task inversion.
About
Konecranes is a global leader in material handling solutions, serving a broad range of customers across multiple industries.
Role in INVERSE
Konecranes is providing demonstrator facilities for the use cases within INVERSE.
About
Mondragon University is a private university in the Basque Country (Spain) and offers a vast selection of studies from human studies, business to engineering.
Role in INVERSE
Mondragon University is developing a novel framework that combines design and assessment aspects for designing the human-robot interface from an SSH-based and user-centric design methodology.
About
The University of Trento (UNITN) is engaged in diverse research domains, spanning civil, environmental, and mechanical engineering among others.
Role in INVERSE
UNITN plays a pivotal role in overseeing project coordination, actively participating in all technical workpackages, and facilitating the execution of open calls, communication strategies, and dissemination tasks.
About
Steinbeis Europa Zentrum (Steinbeis) has over 30 years of experience in innovation consulting, with a focus on international markets and securing funding from the European Union.
Role in INVERSE
Steinbeis is responsible for the dissemination, communication activities through out the project duration and will make sure that results are being exploited correctly and effectively.
About
TU Wien is an Austrian public research university specialized in engineering, computer science, and natural sciences.
Role in INVERSE
TU Wien is leading the Task Learning and Knowledge Representation that consists among other things in developing robot learning algorithms of multi-level task learning from human observation.
About
VTT is a research institution owned by the Finnish state. Their specific areas of actions are sustainable products and materials, digital technologies and carbon neutral solutions.
Role in INVERSE
VTT is involved in many tasks through out the project, but is mainly leading the integration and evaluation of human-robot collaboration carried out in the project.