AI for Retail (AIR) Lab Delft

Website AIRLab Delft

Project type

Industry project (Ahold Delhaize); 2019-2023


The AI for Retail (AIR) Lab Delft is a joint TUDelft-Ahold Delhaize industry lab consisting of a robotics research program and test site focused on developing state-of-the-art innovations in the retail industry. By expanding its focus to robotics, AIRLab Delft will further drive innovations for daily business while building more knowledge of the intersection between retail, AI and robotics. The expansion comprises a robotics research program and test site for developing state-of-the-art innovations in the retail industry.

Based in RoboValley, a robotics research center developed by TU Delft Robotics Institute, a team of international researchers will explore robotic solutions that can be applied throughout the retail supply chain, from warehouses and stores to customers. To ensure these explorations result in tangible solutions, Ahold Delhaize will open a test site where researchers can work with partners, students and start-ups, supported by the technology incubator of TU Delft – YES!Delft – to build and test prototypes of robotic solutions. At the test site, which will be operational in early 2019, they will explore how robotics can be deployed in a retail setting, how robotic grippers can handle delicate items such as fruits and vegetables, or how to improve image-recognition of products and packaging.

Project members

ir. Mert Imre, ir. Maximilian Kronmüller, ir. Corrado Pezzato, ir. Max Spahn, Madelaine Ley, dr. Filippo Santoni de Sio, dr. ir. Carlos Hernández Corbato, dr. Javier Alonso-Mora, Dr.-Ing. Jens Kober, Martijn Wisse


Max Spahn, Corrado Pezzato, Chadi Salmi, Rick Dekker, Cong Wang, Christian Pek, Jens Kober, Javier Alonso-Mora, Carlos Hernandez Corbato, and Martijn Wisse. Demonstrating Adaptive Mobile Manipulation in Retail Environments. In Robotics: Science and Systems (R:SS), 2024. [bibtex]

Anna Mészáros, Giovanni Franzese, and Jens Kober. Learning to Pick at Non-Zero-Velocity From Interactive Demonstrations. IEEE Robotics and Automation Letters, 7(3):6052–6059, 2022. [bibtex] [pdf] [url] [doi] [code] [video] gold open access