The developments in computer vision, graphics, and robotics have jointly spurred calls for next-generation AI systems that physically interact with their surroundings. Current research advances encompass 3D representations, large-scale foundation models, and end-to-end VLA approaches, but fundamental questions remain on how best to sustain environment comprehension, align efforts from diverse fields, and integrate scene understanding techniques to enhance physical interaction. The workshop seeks to unite current efforts, educate an interdisciplinary workforce with expertise across fields, and promote future developments in embodied and general AI.