Real-time Anticipation and Synchronization in Close-Proximity Human Robot Collaboration

Invention type: Technology / Case number: #25833
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Researchers

Julie Shah / Christopher Fourie

Departments: Department of Aeronautics and Astronautics, Aeronautics and Astronautics
Technology Areas: Artificial Intelligence (AI) and Machine Learning (ML) / Computer Science: Bioinformatics, Networking & Signals
Impact Areas: Advanced Materials

  • real-time anticipation and synchronization in close-proximity human robot collaboration
    United States of America | Pending

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