Update README.md

README.md

@@ -25,10 +25,15 @@ Please refer to our [project page](https://rdt-robotics.github.io/rdt-robotics/)
 
 ## Uses
 
-RDT takes language instruction, image observations and proprioception as input, and predicts the next 64 robot actions in the form of unified action space vector, 
-including all the main physical quantities of robots, including the end-effector and joint, position and velocity, base movement, etc.
+RDT takes language instruction, image observations and proprioception as input, and predicts the next 64 robot actions in the form of unified action space vector.
+The unified action space vector includes all the main physical quantities of robots (e.g. the end-effector and joint, position and velocity, base movement, etc.) and can be applied to a wide range of robotic embodiments.
 
-### Getting Started
+The pre-trained RDT model can be fine-tuned for specific robotic embodiment and deployed on real-world robots. 
+Here's an example of how to use the RDT-1B model for inference on a Mobile-ALOHA robot:```python
+
+```python
+# Clone the repo and install depencies
+```
 
 RDT-1B supports finetuning on custom dataset, deploying and inferencing on real-robots, as well as pretraining the model.