Chinese researchers claim to have found evidence that large language models (LLMs) can comprehend and process natural objects like human beings. This, they suggest, is done spontaneously even without ...

Deepreinforcement learning has disadvantages such as low sample utilization and slow convergence, and thousandsof trial-and-error iterations are required to perform ...

Figure 2. Human multi-object grasping strategy and the developed gripper : Humans can repeatedly grasp and store objects one by one using finger-to-palm translation, allowing multiple objects to be ...

Zhejiang University researchers build a flexible robotic hand that literally “sees around corners,” combining deep learning ...