Search Results - "Lu, Jingpei"
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1
Robotic Tool Tracking Under Partially Visible Kinematic Chain: A Unified Approach
Published in IEEE transactions on robotics (01-06-2022)“…Anytime a robot manipulator is controlled via visual feedback, the transformation between the robot and camera frame must be known. However, in the case where…”
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2
PD27-06 3D RENDERING OF CYSTOSCOPY VIDEO FOOTAGE: A NOVEL METHOD UTILIZING NEURAL RADIANCE FIELD PROCESSING
Published in The Journal of urology (01-05-2024)Get full text
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3
Pose Estimation for Robot Manipulators via Keypoint Optimization and Sim-to-Real Transfer
Published in IEEE robotics and automation letters (01-04-2022)“…Keypoint detection is an essential building block for many robotic applications like motion capture and pose estimation. Historically, keypoints are detected…”
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4
SuPer: A Surgical Perception Framework for Endoscopic Tissue Manipulation With Surgical Robotics
Published in IEEE robotics and automation letters (01-04-2020)“…Traditional control and task automation have been successfully demonstrated in a variety of structured, controlled environments through the use of highly…”
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5
Markerless Camera-to-Robot Pose Estimation via Self-Supervised Sim-to-Real Transfer
Published in 2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (01-06-2023)“…Solving the camera-to-robot pose is a fundamental requirement for vision-based robot control, and is a process that takes considerable effort and cares to make…”
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Conference Proceeding -
6
Robotic Manipulation of Deformable Rope-like Objects Using Differentiable Compliant Position-based Dynamics
Published in IEEE robotics and automation letters (01-07-2023)“…Robot manipulation of rope-like objects is an interesting problem with some critical applications, such as autonomous robotic suturing. Solving for and…”
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SuPer Deep: A Surgical Perception Framework for Robotic Tissue Manipulation using Deep Learning for Feature Extraction
Published in 2021 IEEE International Conference on Robotics and Automation (ICRA) (30-05-2021)“…Robotic automation in surgery requires precise tracking of surgical tools and mapping of deformable tissue. Previous works on surgical perception frameworks…”
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Conference Proceeding -
8
Markerless Camera-to-Robot Pose Estimation via Self-supervised Sim-to-Real Transfer
Published 28-02-2023“…Solving the camera-to-robot pose is a fundamental requirement for vision-based robot control, and is a process that takes considerable effort and cares to make…”
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9
BAA-NGP: Bundle-Adjusting Accelerated Neural Graphics Primitives
Published in 2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW) (17-06-2024)“…Implicit neural representations have become pivotal in robotic perception, enabling robots to comprehend 3D environments from 2D images. Given a set of camera…”
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Conference Proceeding -
10
Tracking Snake-Like Robots in the Wild Using Only a Single Camera
Published in 2024 IEEE International Conference on Robotics and Automation (ICRA) (13-05-2024)“…Robot navigation within complex environments requires precise state estimation and localization to ensure robust and safe operations. For ambulating mobile…”
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Conference Proceeding -
11
Pose Estimation for Robot Manipulators via Keypoint Optimization and Sim-to-Real Transfer
Published 08-02-2022“…in IEEE Robotics and Automation Letters, vol. 7, no. 2, pp. 4622-4629, April 2022 Keypoint detection is an essential building block for many robotic…”
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12
Tracking Snake-like Robots in the Wild Using Only a Single Camera
Published 27-09-2023“…Robot navigation within complex environments requires precise state estimation and localization to ensure robust and safe operations. For ambulating mobile…”
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Journal Article -
13
BAA-NGP: Bundle-Adjusting Accelerated Neural Graphics Primitives
Published 07-06-2023“…Implicit neural representations have become pivotal in robotic perception, enabling robots to comprehend 3D environments from 2D images. Given a set of camera…”
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14
Image-based Pose Estimation and Shape Reconstruction for Robot Manipulators and Soft, Continuum Robots via Differentiable Rendering
Published 27-02-2023“…State estimation from measured data is crucial for robotic applications as autonomous systems rely on sensors to capture the motion and localize in the 3D…”
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15
CtRNet-X: Camera-to-Robot Pose Estimation in Real-world Conditions Using a Single Camera
Published 16-09-2024“…Camera-to-robot calibration is crucial for vision-based robot control and requires effort to make it accurate. Recent advancements in markerless pose…”
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16
Real-to-Sim Registration of Deformable Soft Tissue with Position-Based Dynamics for Surgical Robot Autonomy
Published in 2021 IEEE International Conference on Robotics and Automation (ICRA) (30-05-2021)“…Autonomy in robotic surgery is very challenging in unstructured environments, especially when interacting with deformable soft tissues. The main difficulty is…”
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Conference Proceeding -
17
Image-based Pose Estimation and Shape Reconstruction for Robot Manipulators and Soft, Continuum Robots via Differentiable Rendering
Published in 2023 IEEE International Conference on Robotics and Automation (ICRA) (29-05-2023)“…State estimation from measured data is crucial for robotic applications as autonomous systems rely on sensors to capture the motion and localize in the 3D…”
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Conference Proceeding -
18
BASED: Bundle-Adjusting Surgical Endoscopic Dynamic Video Reconstruction using Neural Radiance Fields
Published 26-09-2023“…Reconstruction of deformable scenes from endoscopic videos is important for many applications such as intraoperative navigation, surgical visual perception,…”
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19
HemoSet: The First Blood Segmentation Dataset for Automation of Hemostasis Management
Published 24-03-2024“…Hemorrhaging occurs in surgeries of all types, forcing surgeons to quickly adapt to the visual interference that results from blood rapidly filling the…”
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SuPerPM: A Large Deformation-Robust Surgical Perception Framework Based on Deep Point Matching Learned from Physical Constrained Simulation Data
Published 25-09-2023“…Manipulation of tissue with surgical tools often results in large deformations that current methods in tracking and reconstructing algorithms have not…”
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