7 citations · 8 across the 6 of their papers we have counts for
8 papers
Hall Effect-Based Tactile Force Detection Sensor for Robot-Assisted Minimally Invasive Surgery
Charles DeLorey, Michael Brockdorff, Adam Metcalf +3
Robotic minimally invasive surgery has revolutionized surgical practice. However, as the surgeons are mechanically separated from the surgical tools, loss of tactile feedback occur…
CADeT: Causal-Aware Deformation Transmission for Indirect Robotic Manipulation of Soft Tissue
Junlei Hu, Dominic Jones, Pietro Valdastri
Indirect manipulation of deep-seated deformable anatomy inaccessible to the robot is challenging in robot-assisted minimally invasive surgery (RAMIS) because intervening tissues sp…
PICO: Projection-Informed Consistency Optimisation for 6DoF Surgical Tool Pose Estimation
Lucy Fothergill, Pietro Valdastri, Dominic Jones +1
Purpose: Accurate 6 DoF pose estimation of surgical tools is critical for automa- tion, robotic proprioception, and safe interaction with the tissue operated on. Kinematics-based a…
Open-H-Embodiment: A Large-Scale Dataset for Enabling Foundation Models in Medical Robotics
Open-H-Embodiment Consortium, :, Nigel Nelson +213
Autonomous medical robots hold promise to improve patient outcomes, reduce provider workload, democratize access to care, and enable superhuman precision. However, autonomous medic…
Surg-InvNeRF: Invertible NeRF for 3D tracking and reconstruction in surgical vision
Gerardo Loza, Junlei Hu, Dominic Jones +2
We proposed a novel test-time optimisation (TTO) approach framed by a NeRF-based architecture for long-term 3D point tracking. Most current methods in point tracking struggle to ob…
NeeCo: Image Synthesis of Novel Instrument States Based on Dynamic and Deformable 3D Gaussian Reconstruction
Tianle Zeng, Junlei Hu, Gerardo Loza Galindo +4
Computer vision-based technologies significantly enhance surgical automation by advancing tool tracking, detection, and localization. However, Current data-driven approaches are da…
SurgRIPE challenge: Benchmark of Surgical Robot Instrument Pose Estimation
Haozheng Xu, Alistair Weld, Chi Xu +16
Accurate instrument pose estimation is a crucial step towards the future of robotic surgery, enabling applications such as autonomous surgical task execution. Vision-based methods…
Realistic Surgical Image Dataset Generation Based On 3D Gaussian Splatting
Tianle Zeng, Gerardo Loza Galindo, Junlei Hu +2
Computer vision technologies markedly enhance the automation capabilities of robotic-assisted minimally invasive surgery (RAMIS) through advanced tool tracking, detection, and loca…