← Search

Guanglin Cao

6 accepted papers

2026

Anatomy-Aware Robotic Ultrasound Path Planning With Diffusion-Based View Completion

RA-L 2026

Autonomous ultrasound (US) probe initial localization is challenging when external cameras are obstructed or provide only partial patient views, as this limits the utility of anatomical priors. To overcome this, we introduce a novel robotic US probe localization framework featuring two key innovatio

Cited by 0SourceScholar
2025

USPilot: An Embodied Robotic Assistant Ultrasound System With a Large Language Model Enhanced Graph Planner

RA-L 2025

In the era of Large Language Models (LLMs), embodied artificial intelligence presents transformative opportunities for robotic manipulation tasks. Ultrasound imaging, a widely used and cost-effective medical diagnostic procedure, faces. challenges due to the global shortage of professional sonograph

Cited by 5SourceScholar
2024

Co-Axial Slender Tubular robot (CAST): Towards Robotized Operation for Transorbital Neurosurgery with Minimal Invasiveness

ICRA 2024poster

Transorbital Neuro Surgery (TNS) offers a novel treatment towards the lesion inside skull pursuing minimal invasiveness. Most conventional TNS tools are rigid and straight, limiting the dexterity and accessibility in passing a small port. Bendable and steerable surgical tools provides an alternative…

Cited by 0SourceScholar
2024

Inverse Kinematics Embedded Network for Robust Patient Anatomy Avatar Reconstruction From Multimodal Data

RA-L 2024

Patient modelling has a wide range of applications in medicine and healthcare, such as clinical teaching, surgery navigation and automatic robotized scanning. While patients are typically covered or occluded in medical scenes, directly regressing human meshes from single RGB images is challenging. T

Cited by 5SourceScholar
2023

An Ultra-Fast Intrinsic Contact Sensing Method for Medical Instruments With Arbitrary Shape

RA-L 2023

Intraoperative contact sensing has the potential to reduce the risk of surgical errors and enhance manipulation capabilities for medical robots, particularly in contact force control. Current intrinsic force sensing (IFS) methods are limited in application to medical instruments with arbitrary shape

Cited by 6SourceScholar