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@INPROCEEDINGS{Berio_IGS_2025,
                      author = {Berio, D. and Calinon, Sylvain and Plamondon, R. and Leymarie, F. F.},
                    keywords = {movement primitives, robot drawing},
                    projects = {Idiap},
         mainresearchprogram = {Human-AI Teaming},
                       title = {Differentiable rasterization of minimum-time sigma-lognormal trajectories},
                   booktitle = {In Proc. 22nd Conference of the International Graphonomics Society (IGS)},
                        year = {2025},
                    abstract = {We present an adaptation of the sigma-lognormal model to generate and fit smooth trajectories in conjunction with a differentiable vector graphics (DiffVG) rendering pipeline and with parameter selection driven by a minimum-time smoothing criterion. This approach enables the incorporation of the ``Kinematic Theory of Rapid Human Movements'' into modern image-based deep learning systems. We demonstrate its utility through various applications, including fitting handwriting trajectories to an image and generating trajectories using guidance from a large multimodal model.},
                         pdf = {https://publications.idiap.ch/attachments/papers/2025/Berio_IGS_2025.pdf}
}