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Horizon Europe · Global Challenges and European Industrial Competitiveness

Apply AI: AI-Driven Robotics for Industry: Enabling System Integration and Adoption (IA) (Partnership in AI, Data and Robotics)

HORIZON-CL4-2027-04-DIGITAL-EMERGING-05 DIGITAL HORIZON-IA Academics

DeadlineMarch 18, 2027 not open yet
OpensNovember 17, 2026EU data
StatusForthcomingupdated September 30, 2026

Call summary

From the official text, opening part

Expected Outcome: The Apply AI Strategy emphasises acceleration pipelines to ensure a smooth transition from research to deployment of AI-powered robotics. Projects under this topic will deliver common frameworks and reusable building blocks that can serve multiple sectors and use cases, reinforcing Europe’s ability to bring AI-driven robotics to scale. Project results are expected to contribute to all of the following expected outcomes: Wider and faster deployment of robotics, bridging the gap between technology providers and end-users. Development and implementation of modular and interoperable integration frameworks and solutions, including standardized protocols for data, training and safety testing, evaluation and validation of robotic solutions in key use cases Improved competitiveness of European industries, notably SMEs via the development of advanced robotics systems, intelligen… more

Artificial intelligence, intelligent systems, multi agent systemsIntelligent robotics, cyberneticsRobotic system developmentRoboticsArtificial IntelligenceIntegration

Academics who may be relevant

By subject fit

30
  1. %67
    UĞUR ÇEKMEZ
    Doktor Öğretim ÜyesiBiruni Üniversitesi

    Shared topics: Robotic Path Planning Algorithms

  2. %63
    SERKAN ÇAŞKA
    DoçentManisa Celâl Bayar Üniversitesi

    Shared topics: Robotic Path Planning Algorithms

  3. %61
    MERVE ARITÜRK TÜREN
    Araştırma GörevlisiBahçeşehir Üniversitesi

    Shared topics: Robotic Path Planning Algorithms

  4. %55
    EMRAH KUZU
    Öğretim Görevlisi (ders Vermekle Görevli)Manisa Celâl Bayar Üniversitesi

    Shared topics: Robotic Mechanisms and Dynamics

  5. %54
    ASUDE ALTIPARMAK BİLGİN
    Araştırma Görevlisiİstanbul Medeniyet Üniversitesi

    Shared topics: Robotic Path Planning Algorithms

  6. %54
    EGEMEN BELGE
    Doktor Öğretim ÜyesiAlanya Alaaddin Keykubat Üniversitesi

    Shared topics: Robotic Path Planning Algorithms

  7. %53
    SERHAT AKSUNGUR
    Doktor Öğretim ÜyesiMalatya Turgut Özal Üniversitesi

    Shared topics: Soft Robotics and Applications · Robotic Mechanisms and Dynamics · Robotic Path Planning Algorithms

  8. %52
    HARUN BAYER
    Öğretim Görevlisi (ders Vermekle Görevli)Malatya Turgut Özal Üniversitesi

    Shared topics: Robotics and Automated Systems

  9. %52
    NİHAT ÇABUK
    Doktor Öğretim ÜyesiAksaray Üniversitesi

    Shared topics: Robotic Path Planning Algorithms

  10. %50
    ERKAN PAKSOY
    Araştırma Görevlisiİzmir Yüksek Teknoloji Enstitüsü

    Shared topics: Robotic Mechanisms and Dynamics · Soft Robotics and Applications

  11. %49
    ERKİN GEZGİN
    Profesörİzmir Katip Çelebi Üniversitesi

    Shared topics: Robotic Mechanisms and Dynamics · Soft Robotics and Applications

  12. %49
    HAZAL EZGİ MUTLU
    Doktor Öğretim ÜyesiÇağ Üniversitesi

    Shared topics: Reinforcement Learning in Robotics

  13. %49
    MUSTAFA KAYA
    ProfesörAksaray Üniversitesi

    Shared topics: Robotic Path Planning Algorithms

  14. %49
    PINAR DEMİRCİOĞLU
    ProfesörAydın Adnan Menderes Üniversitesi

    Shared topics: Robotic Path Planning Algorithms

  15. %48
    HUZEYFE MUHAMMED KOCABAŞ
    Doktor Öğretim ÜyesiAmasya Üniversitesi

    Shared topics: Robotics and Sensor-Based Localization · Robotic Path Planning Algorithms

  16. %47
    CEM ÖZKURT
    Doktor Öğretim ÜyesiSakarya Üniversitesi

    Research topics: Digital Transformation in Industry · Online Learning and Analytics · Explainable Artificial Intelligence (XAI)

  17. %47
    YAĞMUR ÖLMEZ
    Doktor Öğretim ÜyesiMalatya Turgut Özal Üniversitesi

    Shared topics: Robotic Path Planning Algorithms

  18. %47
    ZEHRA ÖZSÜRÜNÇ ÜNAL
    Araştırma Görevlisiİstanbul Medeniyet Üniversitesi

    Shared topics: Robotic Process Automation Applications

  19. %46
    BİLAL ÖZAK
    Doktor Öğretim ÜyesiAmasya Üniversitesi

    Shared topics: Robotic Path Planning Algorithms

  20. %46
    MAHİT GÜNEŞ
    ProfesörKahramanmaraş Sütçü İmam Üniversitesi

    Shared topics: Robotic Path Planning Algorithms

  21. %45
    GÜRAY YILMAZ
    ProfesörBiruni Üniversitesi

    Shared topics: Robotic Path Planning Algorithms · Robotics and Sensor-Based Localization

  22. %44
    AHMET SADIK DURU
    Araştırma GörevlisiVan Yüzüncü Yıl Üniversitesi

    Shared topics: Robotic Path Planning Algorithms

  23. %44
    PERİHAN KARAKÖSE
    Doktor Öğretim ÜyesiBartın Üniversitesi

    Shared topics: Robotics and Sensor-Based Localization · Robotic Path Planning Algorithms

  24. %43
    BURAK ÇATALBAŞ
    Doktor Öğretim ÜyesiBahçeşehir Üniversitesi

    Shared topics: Robotic Locomotion and Control

  25. %43
    BÜŞRANUR NALBANT
    Öğretim Görevlisiİstanbul 29 Mayıs Üniversitesi

    Shared topics: Robotik

  26. %43
    ERMAN COŞKUN
    ProfesörBahçeşehir Üniversitesi

    Research topics: Big Data and Business Intelligence · Technology Adoption and User Behaviour · Software Engineering Research

  27. %42
    AYŞE ÜNLÜ
    Araştırma GörevlisiSakarya Üniversitesi

    Shared topics: Reinforcement Learning in Robotics

  28. %42
    FATİH GÖKÇE
    Doktor Öğretim ÜyesiSüleyman Demirel Üniversitesi

    Shared topics: Robotic Path Planning Algorithms · Robotik

  29. %42
    NAMIK ÇIPLAK
    Doktor Öğretim ÜyesiYeditepe Üniversitesi

    Shared topics: Robotic Mechanisms and Dynamics

  30. %42
    SEZAİ TAŞKIN
    ProfesörManisa Celâl Bayar Üniversitesi

    Shared topics: Robotic Mechanisms and Dynamics

The fit is computed by code on every request: semantic similarity (55%) between the call text (title, EU keywords, start of the official description) and the academic’s YÖKSİS fields, keywords and OpenAlex topics, plus shared distinctive terms (45%; common words weigh little). Below 40% is not shown. A subject hint only — not an eligibility, capacity or merit assessment. Hidden profiles are never listed.