3D Object Manipulation

3D object manipulation research aims to enable robots to dexterously interact with objects in three-dimensional space, focusing on improving accuracy and efficiency. Current efforts leverage advanced techniques like transformers and novel 3D representations (e.g., implicit functions, volumetric models) to learn robust manipulation policies from both simulated and real-world data, often incorporating depth information and multi-view approaches for improved perception. These advancements are significant for robotics, enabling more versatile and adaptable robots capable of performing complex tasks in unstructured environments, with applications ranging from industrial automation to assistive technologies.