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GHOST

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Advancing VR Teleoperation and LfD Data Collection through enablign human/model data parity, intuitive gesture controls, and dynamic point cloud visualization

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Advancing VR Teleoperation and LfD Data Collection through enabling human/model data parity, intuitive gesture controls, and dynamic point cloud visualization.

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About GHOST

GHOST serves as an ideal platform for generating expert data for learning from demonstration (LfD). In GHOST, teleoperators can perform tasks while receiving the same visual data that can later be used for model training, allowing seamless recording of expert demonstrations in both virtual and physical environments.

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Start Setup Instructions

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Project Goals

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  • Develop intuitive controls for teleoperation of complex tasts
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  • Provide a robust and dynamic view of the scene through high-fidelity point cloud rendering
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  • Provide a platform for effective Learning from Demonstration data collection
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  • Develop intuitive controls for teleoperation of complex tasks.
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  • Provide a robust and dynamic view of the scene through high-fidelity point cloud rendering.
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  • Establish a platform for effective Learning from Demonstration data collection.
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Meet the Team

  • Ziyan Liu - Graduate Student Research Assistant
  • Chengfan Li - Graduate Student Research Assistant
  • Shiyu Yan - Graduate Student Research Assistant
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  • Peter Whitney – Collaborator, Northeastern University
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    Meet the Team

    Publications and Resources

    View Setup Instructions