The field of robotic manipulation and autonomous systems is rapidly advancing, with a focus on developing more sophisticated and adaptive systems. Recent research has emphasized the importance of spatial awareness, natural user interactions, and efficient task planning in robotic manipulation. The integration of robot and scene kinematics has also been identified as a key area of development, enabling more efficient and scalable planning for complex manipulation tasks. Additionally, the use of hypernetworks and task-aware scene representations has shown promise in improving the robustness and adaptability of robotic manipulation systems. Noteworthy papers in this area include Spatial Policy, which proposes a unified spatial-aware visuomotor robotic manipulation framework, and HyperTASR, which presents a hypernetwork-driven framework for task-aware scene representations. Other notable works include the development of autonomous aerial manipulators and the introduction of Prompt-to-Product, an automated pipeline for generating real-world assembly products from natural language prompts.