2 citations · 2 across the 1 of their papers we have counts for
5 papers
Towards Robust Surgical Automation via Digital Twin Representations from Foundation Models
Hao Ding, Lalithkumar Seenivasan, Hongchao Shu +7
Large language model-based (LLM) agents are emerging as a powerful enabler of robust embodied intelligence due to their capability of planning complex action sequences. Sound plann…
A Digital Twin for Telesurgery under Intermittent Communication
Junxiang Wang, Juan Antonio Barragan, Hisashi Ishida +3
Telesurgery is an effective way to deliver service from expert surgeons to areas without immediate access to specialized resources. However, many of these areas, such as rural dist…
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…
Improving the realism of robotic surgery simulation through injection of learning-based estimated errors
Juan Antonio Barragan, Hisashi Ishida, Adnan Munawar +1
The development of algorithms for automation of subtasks during robotic surgery can be accelerated by the availability of realistic simulation environments. In this work, we focus…
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…