Grasp Detection

Grasp detection, the task of identifying suitable locations and orientations for a robotic gripper to grasp an object, is crucial for robotic manipulation. Current research emphasizes improving robustness and speed, particularly in cluttered scenes, by incorporating multimodal data (e.g., RGB-D images and language instructions) and leveraging advanced architectures like transformers, diffusion models, and equivariant networks. These advancements aim to enhance the accuracy and efficiency of grasp detection, enabling wider deployment of robots in complex, real-world environments across various industrial and domestic applications.