The European robotics industry is moving towards a new generation of robots, based on safety in the workplace and the ability to work alongside humans. This new generation is paramount to making the factories of the future more cost-effective and restoring the competitiveness of the European manufacturing industry. However, the European manufacturing industry is facing the following challenges: (1) lack of adaptability, (2) lack of flexibility, and (3) lack of vertical integration. The proposed SYMBIO-TIC project addresses these important issues towards a safe, dynamic, intuitive and cost-effective working environment were immersive and symbiotic collaboration between human workers and robots can take place and bring significant benefits to robot-reluctant industries (where current tasks and processes are thought too complex to be automated). The benefits that the project can bring about include lower costs, increased safety, better working conditions and higher profitability through improved adaptability, flexibility, performance and seamless integration. This project is planned for 48 months with a consortium of 15 partners from 7 EU Member States.
|Number of participants:||15|
|Total budget - EC contribution:||7230208 Euro - 6451703 Euro|
|Call topic:||Symbiotic human-robot collaborations for safe and dynamic multimodal manufacturing systems (FoF.NMPB.2014.6)|
|Instrument:||DEMO-targeted collaborative project|
Challenges - (17) view
Technologies and enablers - (23) view
Digital mapping framework - (10) view
Research priorities - (4) view
Diverse - (2) view
Digitalisation pathways - (1) view
Use Case Requirements and Lessons Learned - (No information available)
- 3D modelling software tools
- Active collision avoidance system and algorit...
- Energy efficient trajectory planner
- Real-time multimodal command processing and i...
- Zero programming modules
- Flexible force control of robots in collabora...
- External Communication Package for Open Sourc...
- Mobile worker identification and tracking sys...
- Context-aware instruction generation
- Robot control with hand gestures
- Planning and control cockpit
- LMS - University of Patras
- VTT Technical Research Centre of Finland Ltd.
- KTH (Royal Institute of Technology)
- Profactor GmbH
- FUNDACION PRODINTEC
- HOGSKOLAN I SKOVDE
- Volvo Cars
- MTA SZTAKI
- SANXO-SYSTEMS FINN-MAGYAR MERESTECHNIKAI ES A...
- ABB AB
- AMORPH SYSTEMS GMBH
- ROBOMOTION GMBH
- ACITURRI ENGINEERING SL