Update README.md

README.md

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 ---
 license: apache-2.0
+library_name: lerobot
+pipeline_tag: robotics
+datasets:
+- Hiwonder-robot/cube_to_plate
+tags:
+- lerobot
+- so-arm101
+- robotics
+- imitation-learning
+- manipulation
+- cube2plate
 ---
+
+# SO-ARM101 Cube2Plate Policy
+
+This model is a LeRobot policy trained for the SO-ARM101 robotic arm on the Cube2Plate task.
+
+The policy is used to control the SO-ARM101 robotic arm to pick up a cube and place it onto a plate.
+
+## Model Details
+
+- **Robot:** SO-ARM101
+- **Task:** Cube2Plate
+- **Framework:** LeRobot
+- **Model type:** Imitation learning policy
+- **License:** Apache-2.0
+- **Training dataset:** [Hiwonder-robot/cube_to_plate](https://huggingface.co/datasets/Hiwonder-robot/cube_to_plate)
+
+## Intended Use
+
+This model is intended for running and evaluating the Cube2Plate task with the SO-ARM101 robotic arm.
+
+It can be used for:
+
+- SO-ARM101 robotic arm control
+- Cube-to-plate manipulation task
+- LeRobot policy evaluation
+- Imitation learning experiments
+
+## How to Use
+
+You can run evaluation or inference with LeRobot:
+
+```bash
+lerobot-record \
+  --robot.type=so101_follower \
+  --dataset.repo_id=${HF_USER}/eval_so101 \
+  --policy.path=${HF_USER}/Cube2Plate \
+  --episodes=10
+```
+
+If the following folder already exists locally:
+
+```bash
+C:/Users/Admin/Desktop/lerobot/${HF_USER}/eval_so101
+```
+
+please delete it before running the command again.
+
+## Training Data
+
+This model was trained using demonstration data collected for the Cube2Plate task with the SO-ARM101 robotic arm.
+
+Dataset:
+
+[Hiwonder-robot/cube_to_plate](https://huggingface.co/datasets/Hiwonder-robot/cube_to_plate)
+
+## Evaluation
+
+The model can be evaluated by running the trained policy on the SO-ARM101 robotic arm and checking whether the cube is successfully placed onto the plate.
+
+## Limitations
+
+- This model is designed only for the Cube2Plate task.
+- Performance may be affected by camera position, lighting conditions, object position, and robot calibration.
+- The model may not generalize well to different objects, environments, or robot configurations.
+- Please run the robot carefully to avoid collision or hardware damage.
+
+## More Information
+
+This model was trained and uploaded using the LeRobot framework.