Project cooperationUpdated on 17 March 2025
HORIZON-CL4-INDUSTRY-2025-01-TWIN-TRANSITION-02 Physical and cognitive augmentation in advanced manufacturing
About
Objectives: Leveraging mobile robot technologies across various operational workstations enables flexible automation and potential human interaction. These robots incorporate self-learning capabilities and quickly adapt to changing conditions. The objective is to deploy mobile robots for multiple tasks across different workstations, replacing fixed robotic automation to reduce investment costs and implementation time.
Expected Results: An AI-based human-robot field management control system facilitates efficient coordination and collaboration between humans and robots. AI-driven mobile robots utilize self-learning capabilities to optimize their performance, achieving over 95% utilization. The system enhances workplace safety, strengthens human-machine collaboration, and employs AI-driven methodologies to support workers, ultimately enabling more efficient and flexible workflows
Stage
- Early (Idea)
Call
- Artificial Intelligence (AI) based Tools and Technologies
- Digital Solutions and Digitalization
- Manufacturing Industries
- AI & Data & Robotics
Type
- R&D Partner
- Technical Partner
- Coordinator
- Dissemination & Exploitation Partner
Organisation
Similar opportunities
Partnership
Ahmet Hamit Yılmaz
Lead Engineer at BEKO
istanbul, Türkiye
Project cooperation
Embedded flexible sensors in soft robotics
- R&D Partner
- Coordinator
- Technical Partner
- Planning (Concept)
- AI & Data & Robotics
- Innovative Materials
- Manufacturing Industries
Mercedes Cobo González
Industrial Engineer at Aimplas
Valencia, Spain
Project cooperation
AI-Driven 3D-Printed Robotic Arm for Smart Automation
Ceren Gezik
Senior R&D Specialist at DSM Group / Trendyol
İstanbul, Türkiye