2 citations · 4 across the 7 of their papers we have counts for
7 papers
Dynamic Model Identification and Gravity Compensation for the dVRK-Si Patient Side Manipulator
Haoying Zhou, Hao Yang, Brendan Burkhart +6
The da Vinci Research Kit (dVRK) has been widely used for research in robot-assisted surgery over the past decade, and its latest generation, the dVRK-Si was made publicly availabl…
SurgSync: Time-Synchronized Multi-Modal Data Collection Framework and Dataset for Surgical Robotics
Haoying Zhou, Chang Liu, Yimeng Wu +7
Most existing robotic surgery systems adopt a human-in-the-loop paradigm, often with the surgeon directly teleoperating the robotic system. Adding intelligence to these robots woul…
SurgPose: a Dataset for Articulated Robotic Surgical Tool Pose Estimation and Tracking
Zijian Wu, Adam Schmidt, Randy Moore +4
Accurate and efficient surgical robotic tool pose estimation is of fundamental significance to downstream applications such as augmented reality (AR) in surgical training and learn…
Gravity Compensation of the dVRK-Si Patient Side Manipulator based on Dynamic Model Identification
Haoying Zhou, Hao Yang, Anton Deguet +3
The da Vinci Research Kit (dVRK, also known as dVRK Classic) is an open-source teleoperated surgical robotic system whose hardware is obtained from the first generation da Vinci Su…
FIRE-3DV: Framework-Independent Rendering Engine for 3D Graphics using Vulkan
Christopher John Allison, Haoying Zhou, Adnan Munawar +2
Interactive dynamic simulators are an accelerator for developing novel robotic control algorithms and complex systems involving humans and robots. In user training and synthetic da…
Realistic Data Generation for 6D Pose Estimation of Surgical Instruments
Juan Antonio Barragan, Jintan Zhang, Haoying Zhou +2
Automation in surgical robotics has the potential to improve patient safety and surgical efficiency, but it is difficult to achieve due to the need for robust perception algorithms…
SurgicAI: A Hierarchical Platform for Fine-Grained Surgical Policy Learning and Benchmarking
Jin Wu, Haoying Zhou, Peter Kazanzides +2
Despite advancements in robotic-assisted surgery, automating complex tasks like suturing remain challenging due to the need for adaptability and precision. Learning-based approache…