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Multimodal and self-supervised representation learning for automatic gesture recognition in surgical robotics.

, , and . CoRR, (2020)

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Depth Anything in Medical Images: A Comparative Study., , , and . CoRR, (2024)Rethinking causality-driven robot tool segmentation with temporal constraints., , , and . Int. J. Comput. Assist. Radiol. Surg., 18 (6): 1009-1016 (2023)FPGA-Based Velocity Estimation for Control of Robots with Low-Resolution Encoders., , , and . IROS, page 6384-6389. IEEE, (2018)An efficient method for autoencoder-based collaborative filtering., , , , and . Concurr. Comput. Pract. Exp., (2019)Estimation of Trocar and Tool Interaction Forces on the da Vinci Research Kit with Two-Step Deep Learning., , , and . CoRR, (2020)Eye Tracking for Tele-robotic Surgery: A Comparative Evaluation of Head-worn Solutions., , , , , and . CoRR, (2023)A Deep Learning Approach to Intrinsic Force Sensing on the da Vinci Surgical Robot., , , and . IRC, page 25-32. IEEE, (2020)Learning Soft-Tissue Simulation from Models and Observation., , , and . ISMR, page 1-7. IEEE, (2021)Neural Network based Inverse Dynamics Identification and External Force Estimation on the da Vinci Research Kit., , , and . ICRA, page 1387-1393. IEEE, (2020)Zero-shot Prompt-based Video Encoder for Surgical Gesture Recognition., , , , and . CoRR, (2024)