The goal of this workshop is to build communication among researchers who study human modeling and robotics, both of which can be considered as physical agents that interact with the world. In recent years, computer vision researchers have focused on creating digital twins of humans in virtual environments that behave like real humans, and at the same time roboticists have worked on building physical agents capable of interacting with the real world. We believe that the progress in one field can greatly benefit the other. On one hand, virtual humans can be considered as a special form of a robotic agent. On the other hand, robots can learn manipulation and locomotion from human demonstrations, including from simulated humans. Through the proposed workshop, we aim to bring these two fields together and explore common challenges - such as contact modeling, motion prediction, overcoming data paucity, the role of large-scale models, etc. We hope that our workshop will provide a suitable platforms for inspiring new research directions and solutions in this space.