The field of 3D reconstruction and robotic packing is moving towards more efficient and accurate methods. Researchers are focusing on developing innovative approaches to improve the precision of multi-camera systems and automate object perception in industrial automation. One notable direction is the use of iterative extrinsic calibration methods and utility functions to balance pose redundancy and acquisition density. Another area of interest is the development of compliant manipulation systems for robotic packing, which can achieve human-like packing density and speed. These advancements have the potential to significantly impact applications such as warehouse robotics and automated packaging systems. Noteworthy papers include: Marker-Based Extrinsic Calibration Method for Accurate Multi-Camera 3D Reconstruction, which introduces an iterative extrinsic calibration method that leverages geometric constraints to improve calibration accuracy. Stow: Robotic Packing of Items into Fabric Pods presents a compliant manipulation system capable of placing items onto densely packed shelves, achieving human levels of packing density and speed.