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metadata
task_categories:
  - robotics
language:
  - en

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):

Fabio Ramos ([email protected])
Anqi Li ([email protected])

Dataset Creation Date:

03/18/2025

License/Terms of Use:

Non-commercial

Intended Usage:

This dataset is provided in LeRobot format and is intended for training robot policies and foundation models.

Dataset Characterization

** Data Collection Method

  • [Automated]
  • [Automatic/Sensors]
  • [Synthetic]

** Labeling Method

  • [Synthetic]

Dataset Format

Within the collection, there are three datasets in LeRobot format pick, place_bench, and place_cabinet.

  • pick

pick

[Insert Modality and Format Classification]

Dataset Quantification

[Insert Record Count- Note number of records (images, video, audio files, etcetera)] [Insert Feature Count- Note features present in record count above (e.g. tags)] [Insert Measurement of Total Data Storage]

Reference(s):

[1] @inproceedings{garrett2020pddlstream,
  title={Pddlstream: Integrating symbolic planners and blackbox samplers via optimistic adaptive planning},
  author={Garrett, Caelan Reed and Lozano-P{\'e}rez, Tom{\'a}s and Kaelbling, Leslie Pack},
  booktitle={Proceedings of the international conference on automated planning and scheduling},
  volume={30},
  pages={440--448},
  year={2020}
}

[2] @article{Eppner2024,
   title = {scene_synthesizer: A Python Library for Procedural Scene Generation in Robot Manipulation},
   author = {Clemens Eppner and Adithyavairavan Murali and Caelan Garrett and Rowland O'Flaherty and Tucker Hermans and Wei Yang and Dieter Fox},
   journal = {Journal of Open Source Software}
   publisher = {The Open Journal},
   year = {2024},
   Note = {\url{https://scene-synthesizer.github.io/}}
}

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.