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Creators/Authors contains: "Liu, Haotian"

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  1. ; ; ; ; ; (, NeurIPS)
    Free, publicly-accessible full text available December 10, 2025
  2. ; ; ; ; ; ; ; ; (, Proceedings of the Conference on Robot Learning)
    Accepted Manuscript Full Text Available
  3. ; ; ; (, IEEE Conference on Computer Vision and Pattern Recognition (CVPR))
    Accepted Manuscript Full Text Available
  4. ; ; ; ; (, IEEE Conference on Computer Vision and Pattern Recognition (CVPR))
    Accepted Manuscript Full Text Available
  5. ; ; ; ; ; ; (, IEEE Conference on Computer Vision and Pattern Recognition (CVPR))
    Accepted Manuscript Full Text Available
  6. ; ; ; ; (, IEEE)
    Pneumatic soft robots are typically fabricated by molding, a manual fabrication process that requires skilled labor. Additive manufacturing has the potential to break this limitation and speed up the fabrication process but struggles with consistently producing high-quality prints. We propose a low-cost approach to improve the print quality of desktop fused deposition modeling by adding a webcam to the printer to monitor the printing process and detect and correct defects such as holes or gaps. We demonstrate that our approach improves the air-tightness of printed pneumatic actuators while reducing the need for fine-tuning printing parameters. Our approach presents a new option for robustly fabricating airtight, soft robotic actuators. 
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  7. ; ; ; ; ; ; ; ; ; ; et al (, Findings of the Association for Computational Linguistics (ACL Findings))
    Accepted Manuscript Full Text Available
  8. ; ; ; ; ; ; ; ; (, Conference on Robot Learning)
    Accepted Manuscript Full Text Available
  9. ; ; ; ; ; ; (, IEEE)
    Full Text Available 
  10. ; ; ; ; ; ; ; (, IEEE)
    Full Text Available