Real-Time Motion Prediction for Efficient Human-Robot Collaboration
Human motion prediction is an essential step for efficient and safe human-robot collaboration. Current methods either purely rely on representing the human joints in some form of neural network-based architecture or use regression models offline to fit hyper-parameters in the hope of capturing a mod...
Main Author: | Kothari, Aadi |
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Other Authors: | Youcef-Toumi, Kamal |
Format: | Thesis |
Published: |
Massachusetts Institute of Technology
2023
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Online Access: | https://hdl.handle.net/1721.1/152639 |
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