Add SAM2Act overview section

README.md

@@ -19,6 +19,12 @@ The dataset contains scripted demonstrations for three memory-dependent tasks de
 - **Put Block Back**: Evaluates 2D spatial memory along the x-y plane.
 - **Rearrange Block**: Requires backward reasoning based on prior actions.
 
+## SAM2Act Overview
+
+SAM2Act is a multi-view robotics transformer policy for robotic manipulation. Built on RVT-2, it combines multi-resolution upsampling with visual embeddings from the SAM2 foundation model to improve 3D action prediction, multitask learning, and generalization. SAM2Act+ extends this policy with a memory bank, memory encoder, and memory attention so the agent can condition on prior observations and actions for spatial memory-dependent tasks.
+
+For full project details, code, training instructions, and videos, see the [SAM2Act website](https://sam2act.github.io/) and [GitHub repository](https://github.com/sam2act/sam2act).
+
 ## Dataset Structure
 
 The dataset is organized as follows: