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Found 7 papers, 2 papers with code
Robust Surgical Tool Tracking with Pixel-based Probabilities for Projected Geometric Primitives
Uncertainties in mechanical systems as well as camera calibration create errors in this coordinate frame transformation.
Semantic-SuPer: A Semantic-aware Surgical Perception Framework for Endoscopic Tissue Identification, Reconstruction, and Tracking
In this paper, we present a novel, comprehensive surgical perception framework, Semantic-SuPer, that integrates geometric and semantic information to facilitate data association, 3D reconstruction, and tracking of endoscopic scenes, benefiting downstream tasks like surgical navigation.
Real-Time Constrained 6D Object-Pose Tracking of An In-Hand Suture Needle for Minimally Invasive Robotic Surgery
In this work, we consider feasible grasping constraints when tracking the 6D pose of an in-hand suture needle.
Flexible Attention-Based Multi-Policy Fusion for Efficient Deep Reinforcement Learning
In this work, we present Knowledge-Grounded RL (KGRL), an RL paradigm fusing multiple knowledge policies and aiming for human-like efficiency and flexibility.
Dynamic Latent Separation for Deep Learning
A core problem in machine learning is to learn expressive latent variables for model prediction on complex data that involves multiple sub-components in a flexible and interpretable fashion.
Markerless Suture Needle 6D Pose Tracking with Robust Uncertainty Estimation for Autonomous Minimally Invasive Robotic Surgery
Previous approaches in autonomous suturing often relied on fiducial markers rather than markerless detection schemes for localizing a suture needle due to the inconsistency of markerless detections.
Parallelized Reverse Curriculum Generation
For reinforcement learning (RL), it is challenging for an agent to master a task that requires a specific series of actions due to sparse rewards.
