Contact Us
CiiS Lab
Johns Hopkins University
112 Hackerman Hall
3400 N. Charles Street
Baltimore, MD 21218
Directions
Lab Director
Russell Taylor
127 Hackerman Hall
rht@jhu.edu
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| Both sides previous revisionPrevious revisionNext revision | Previous revision | ||
| courses:456:2025:schedule [2025/02/14 06:19] – scho72 | courses:456:2025:schedule [2025/03/06 18:45] (current) – scho72 | ||
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| Line 48: | Line 48: | ||
| **February 4** | **February 4** | ||
| - | * Project plan presentations | + | * Project plan presentations |
| * Team 1: Control of Eye Snake Robot Using Data Driven Models | * Team 1: Control of Eye Snake Robot Using Data Driven Models | ||
| * Team 2: Optimization Based Teleoperated Control of Eye Robots | * Team 2: Optimization Based Teleoperated Control of Eye Robots | ||
| Line 98: | Line 98: | ||
| * Project plan presentations | * Project plan presentations | ||
| * Team 25: Supervised Autonomous Robotic Renal Tumor Surgery (SARRTS) | * Team 25: Supervised Autonomous Robotic Renal Tumor Surgery (SARRTS) | ||
| - | * Background reading presentations | + | * Background reading presentations |
| * Team 11 (2p): Eye Snake Localization Using Vision | * Team 11 (2p): Eye Snake Localization Using Vision | ||
| * Team 12 (2p): Video-based methods for surgeon’s pose analysis in MIS | * Team 12 (2p): Video-based methods for surgeon’s pose analysis in MIS | ||
| Line 105: | Line 105: | ||
| * Background reading presentations | * Background reading presentations | ||
| * Team 13 (3p): Simulation Assisted Navigation for Skull Surgery | * Team 13 (3p): Simulation Assisted Navigation for Skull Surgery | ||
| - | * Team 8 (3p): Multilateral Teleoperation | + | * Team 6 (3p): 3D Real-time FBG-based Stylet Shape Sensing |
| * Team 19 (3p): Spatial recognition and synthetic aperture focusing in real-time, non-contact | * Team 19 (3p): Spatial recognition and synthetic aperture focusing in real-time, non-contact | ||
| **March 11** | **March 11** | ||
| * Background reading presentations | * Background reading presentations | ||
| - | * Team 6 (3p): 3D Real-time FBG-based Stylet Shape Sensing | + | * Team 8 (3p): Multilateral Teleoperation |
| * Team 3 (3p): Robotic Assistant for MRI-Guided Low Back Pain Injection | * Team 3 (3p): Robotic Assistant for MRI-Guided Low Back Pain Injection | ||
| - | * Team 1 (2p): Control of Eye Snake Robot Using Data Driven Models | + | * Team 10 (2p): Eye Motion Compensation in Robotic Subretinal Injections |
| * Team 2 (2p): Optimization Based Teleoperated Control of Eye Robots | * Team 2 (2p): Optimization Based Teleoperated Control of Eye Robots | ||
| Line 121: | Line 121: | ||
| * Team 9 (2p): Automating Robotic Surgical Suturing using RL & IL | * Team 9 (2p): Automating Robotic Surgical Suturing using RL & IL | ||
| * Team 4 (2p): Autonomous Puncture Detection in Retinal Vein Cannulation Using Deep Learning Algorithms | * Team 4 (2p): Autonomous Puncture Detection in Retinal Vein Cannulation Using Deep Learning Algorithms | ||
| - | * Team 10 (2p): Eye Motion Compensation in Robotic Subretinal Injections | + | * Team 1 (2p): Control of Eye Snake Robot Using Data Driven Models |
| **March 18 - Spring break ** | **March 18 - Spring break ** | ||
| Line 133: | Line 133: | ||
| **March 27** | **March 27** | ||
| + | * **IMPORTANT: | ||
| * Checkpoint presentations | * Checkpoint presentations | ||
| * Team 23: Vision-based Soft Tissue Modeling for Digital Twin-based Surgical Robotics | * Team 23: Vision-based Soft Tissue Modeling for Digital Twin-based Surgical Robotics | ||
| Line 178: | Line 179: | ||
| * Team 1: Control of Eye Snake Robot Using Data Driven Models | * Team 1: Control of Eye Snake Robot Using Data Driven Models | ||
| * Background reading presentations | * Background reading presentations | ||
| - | * Team 21 (2p): Digital Twin Representation-based Surgical Phase Recognition | ||
| - | * Team 24 (2p): DDS middleware for medical robotics | ||
| - | * Team 22 (2p): Natural Language Interface for Surgical Robotic System | ||
| * Team 25 (2p): Supervised Autonomous Robotic Renal Tumor Surgery (SARRTS) | * Team 25 (2p): Supervised Autonomous Robotic Renal Tumor Surgery (SARRTS) | ||
| + | * Team 23 (1p): Vision-based Soft Tissue Modeling for Digital Twin-based Surgical Robotics | ||
| + | * Team 16 (1p): Realistic 3D pelvic phantoms and a photoacoustic/ | ||
| + | * Team 24 (1p): DDS middleware for medical robotics | ||
| + | * Team 22 (1p): Natural Language Interface for Surgical Robotic System | ||
| **April 24 - Last day of classes** | **April 24 - Last day of classes** | ||
| Line 188: | Line 190: | ||
| * Team 14 (1p): Transsphenoidal surgical simulator | * Team 14 (1p): Transsphenoidal surgical simulator | ||
| * Team 17 (1p): dVRK Instrument Segmentation and Pose Estimation through High-Resolution Endoscope | * Team 17 (1p): dVRK Instrument Segmentation and Pose Estimation through High-Resolution Endoscope | ||
| - | * Team 23 (1p): Vision-based Soft Tissue Modeling for Digital Twin-based Surgical | + | * Team 21 (2p): Digital Twin Representation-based Surgical |
| - | * Team 16 (1p): Realistic 3D pelvic phantoms and a photoacoustic/ | + | |
| * Team 20 (2p): Diffusion-based Vertebra Reconstruction | * Team 20 (2p): Diffusion-based Vertebra Reconstruction | ||
| * Poster teaser presentations. All groups present. | * Poster teaser presentations. All groups present. | ||
