Datasets:

nvidia
/

PhysicalAI-Robotics-Manipulation-Objects

@@ -6,10 +6,6 @@ language:
 ---
 PhysicalAI-Robotics-Manipulation-Objects is a dataset of automatic generated motions of robots performing operations such as picking and placing objects in a kitchen environment. The dataset was generated in IsaacSim leveraging reasoning algorithms to find solutions to the tasks automatically [1]. The dataset includes a bimanual manipulator built with Kinova Gen3 arms. The environments are kitchen scenes where the furniture and appliances were procedurally generated [2].
 This dataset is for research and development only.
 ## Dataset Contact(s):
@@ -26,13 +22,13 @@ Non-commercial
 This dataset is provided in LeRobot format and is intended for training robot policies and foundation models.
 ## Dataset Characterization
-* Data Collection Method<br>
-  * [Automated] <br>
-  * [Automatic/Sensors] <br>
-  * [Synthetic] <br>
 * Labeling Method<br>
-  * [Synthetic] <br>
 ## Dataset Format
 Within the collection, there are three datasets in LeRobot format `pick`, `place_bench`, and `place_cabinet`.
@@ -109,11 +105,4 @@ Total storage: 4.0 GB
 ## Ethical Considerations:
 NVIDIA believes Trustworthy AI is a shared responsibility and we have established policies and practices to enable development for a wide array of AI applications.  When downloaded or used in accordance with our terms of service, developers should work with their internal model team to ensure this model meets requirements for the relevant industry and use case and addresses unforeseen product misuse.
-(For Release on NVIDIA Platforms Only)
-Please report security vulnerabilities or NVIDIA AI Concerns [here](https://www.nvidia.com/en-us/support/submit-security-vulnerability/).

 ---
 PhysicalAI-Robotics-Manipulation-Objects is a dataset of automatic generated motions of robots performing operations such as picking and placing objects in a kitchen environment. The dataset was generated in IsaacSim leveraging reasoning algorithms to find solutions to the tasks automatically [1]. The dataset includes a bimanual manipulator built with Kinova Gen3 arms. The environments are kitchen scenes where the furniture and appliances were procedurally generated [2].
 This dataset is for research and development only.
 ## Dataset Contact(s):
 This dataset is provided in LeRobot format and is intended for training robot policies and foundation models.
 ## Dataset Characterization
+* Data Collection Method <br>
+  * Automated <br>
+  * Automatic/Sensors <br>
+  * Synthetic <br>
 * Labeling Method<br>
+  * Synthetic <br>
 ## Dataset Format
 Within the collection, there are three datasets in LeRobot format `pick`, `place_bench`, and `place_cabinet`.
 ## Ethical Considerations:
 NVIDIA believes Trustworthy AI is a shared responsibility and we have established policies and practices to enable development for a wide array of AI applications.  When downloaded or used in accordance with our terms of service, developers should work with their internal model team to ensure this model meets requirements for the relevant industry and use case and addresses unforeseen product misuse.
+Please report security vulnerabilities or NVIDIA AI Concerns [here](https://www.nvidia.com/en-us/support/submit-security-vulnerability/).