Extended Data Fig. 4: Extended results of the grasp generation algorithm.
From: Embedding high-resolution touch across robotic hands enables adaptive human-like grasping
Visualization of grasp samples with t-SNE reveals that most Power grasps and Precision grasps are clustered separately, with Intermediate grasps lying in between. This map indicates a strong alignment between the generated results and human definitions of grasp types.
