The paper „Flexible Robotic Drawing on 3D Objects with an Industrial Robot“ (T. Weingartshofer, A. Haddadi, C. Hartl-Nesic, A. Kugi) presents an automatic workflow to execute a drawing process on a 3D object from a user-provided 2D input pattern. This work thus supports the trend in industry to develop flexible automation solutions for high-mix, low-volume production. At the IEEE Conference on Control Technology and Applications (CCTA 2022, August 22-25, 2022 in Trieste, Italy), the paper received the Best Student Paper Award. Congratulations!