MAGICIAN Open Call 1
MAGICIAN funds projects that enhance robotic defect detection and repair in manufacturing through AI-driven and human-centered automation
Type of projects to be funded: MAGICIAN supports projects integrating new functionalities into its robotic defect detection and repair system. Proposals should focus on either perception technologies (F1) (e.g., AI-driven defect detection, advanced sensors) or human-robot collaboration (F2) (e.g., intuitive interfaces, mobile robotic platforms). Applicants need to ensure that their solution can fully integrate with MAGICIAN’s robotics, software, and operational setup while improving defect detection and repair processes.
All funded projects must seamlessly integrate into MAGICIAN’s robotic platform, ensuring compatibility with:
- Robotic systems: Works with MAGICIAN’s Sensing Robot (SR) and Cleaning Robot (CR), based on Doosan H2515 robotic arms.
- Software environment: Must be compatible with Linux 22.04, ROS2 Humble, TensorFlow 2.18.0+, and Python 3.10+.
- Data & AI models: Solutions should align with MAGICIAN’s real-time processing and use available industrial datasets for AI training.
- Testing & validation: Selected projects will have access to MAGICIAN’s testing facilities and industrial platforms for fine-tuning.
Sectors / domain: Manufacturing, Robotics, Automation, AI, and Smart Industry.
Individual or consortium: Proposals can be submitted by a single SME or startup (Single AS) or a consortium of two companies (Twin AS).
- Single AS: Suitable for companies that can independently integrate their solution into MAGICIAN without needing an additional partner.
- Twin AS: Recommended for projects where two companies bring complementary expertise and need to collaborate to develop a solution.
Specific eligibility requirements:
Applicants must be SMEs or startups based in the EU or Horizon Europe Associated Countries. Large companies and non-European entities are not eligible for funding.
All funded projects must seamlessly integrate into MAGICIAN’s robotic platform, ensuring compatibility
Specific topics or challenges: Projects must focus on improving MAGICIAN’s robotic defect detection (F1) or human-robot interaction (F2). Specifically, funded projects must provide a solution to be integrated in the framework focusing on a single module between the ones described for F1 or F2, which are:
F1. PERCEPTION
F1.1 Sensors for defect detection: Integration of alternative non-invasive sensing technologies to improve defect identification accuracy.
F1.2 Polarized camera system: Enhancing robustness, compactness, and industrial adaptability of MAGICIAN’s polarized imaging system.
F1.3 Advanced defect removal: Developing new robotic end-effectors for improved defect reworking, including dent repair.
F1.4 Multi-modal annotation tools: AI-assisted frameworks for efficient annotation of visual and tactile defect data.
F1.5 AI-based defect detection: Machine learning and hybrid approaches for real-time defect classification and localization.
F1.6 Wearable tactile systems: Designing operator-friendly wearables to capture human expertise in defect detection.
F2. HUMAN-ROBOT COLLABORATION
F2.1 Human motion learning: Advanced AI techniques for modeling and transferring human skill-based defect correction.
F2.2 Augmented reality interfaces: AR-based interfaces for intuitive human-robot interaction in defect detection and rework.
F2.3 Voice-command system: Implementing a natural language interface for hands-free robot control in manufacturing tasks.
F2.4 Mobile robotic platforms: Developing mobile robotic systems to improve flexibility and adaptability in industrial settings.
Projects duration: 12 months
Budget, funding rates and payment conditions:
Funding rate:
- Startups: 100% of eligible costs.
- SMEs: 70% of eligible costs.
Budget conditions / limitations: Up to €200,000 per project. Max 5 projects will be funded.
Payments:
50% pre-financing after contract signature.
35% upon mid-term report approval.
15% final payment after project completion.
Links
Closes
02/05/2025
Max funding per project
200.000€