The field of humanoid robotics is moving towards more open-source and accessible platforms, with a focus on scalability, robustness, and human-like behavior. Researchers are exploring new methods for designing and controlling humanoid robots, including the use of sheet metal welding, cross-embodiment behavior execution, and physics-based control. These advancements are enabling more efficient and effective development of humanoid robots, with potential applications in various fields. Noteworthy papers include: MEVITA, which introduces an open-source bipedal robot assembled from e-commerce components via sheet metal welding, demonstrating robust walking behaviors across various environments. HuBE proposes a bi-level closed-loop framework for generating human-like behaviors, ensuring both behavioral similarity and appropriateness, and eliminating structural mismatches between motion generation and execution. FARM presents an end-to-end framework for physics-based humanoid control, significantly enhancing tracking accuracy and reducing the tracking failure rate. Traversing the Narrow Path introduces a two-stage reinforcement learning framework for humanoid beam walking, reliably traversing a 0.2 m-wide, 3 m-long beam.