Lukas Knak

Fraunhofer Institute for Manufacturing Engineering and Automation

Papers

Total Citations

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About

Lukas Knak is a robotics researcher focused on advancing autonomous manipulation in complex, real-world environments. His primary research areas include robotic grasping, 3D object perception, and automated handling of deformable and unstructured items—particularly in retail and healthcare settings. Knak’s major contribution is the creation of **IPA-3D1K**, a large-scale retail 3D model dataset designed to train robots for automated order picking in warehouses, retail stores, and service applications like hospital fetch-and-carry tasks. This work, published in 2023 and already garnering **8 citations**, addresses the critical challenge of enabling robots to recognize and manipulate a vast, diverse set of everyday objects. In parallel, his research on **food handling robots for automated meal preparation in healthcare facilities** (3 citations) tackles the delicate manipulation of food items, aiming to improve efficiency and safety in institutional kitchens. Knak’s work bridges the gap between laboratory robotics and practical deployment, offering scalable solutions for labor-intensive industries. His datasets and methodologies are poised to become foundational resources for researchers developing next-generation service robots.