Work

Multi-Modal Imaging-Guided Robotic System for Automated Venipuncture

Year: 2025

Type: conference-paper

Abstract: This paper presents a collaborative robotic system designed for automated venipuncture. The system integrates a 6 -axis collaborative robot with a custom multifunctional tool equipped with a near-infrared (NIR) camera, an RGB-D camera, and dedicated LED and IR illumination arrays. This multi-modal imaging setup enables robust vein detection by combining color, depth, and NIR data to accurately localize superficial veins and estimate their depth. A gripper mechanism mounted on the robot holds the tool, which includes a retractable needle for safe and precise insertion. The system is designed for use in clinical environments, aiming to reduce the failure rate of manual venipuncture and enhance patient safety. The collaborative nature of the robot ensures safe interaction with medical staff and patients. Initial tests on phantom arms demonstrate the feasibility and effectiveness of the approach, suggesting its potential for future deployment in hospitals and blood collection centers.

Source: International Conference on Intelligent Digitization of Systems and Services (IDSS)

DOI: 10.1109/idss67199.2025.11398335

Authors: Gullu Boztas, Omur Aydogmus

Institution: Fırat University

Language: English

Topic: Robot Manipulation and Learning

Subfield: Control and Systems Engineering

Field: Engineering

Domain: Physical Sciences

SDG: Good health and well-being

Open Access status: green

Funder: Türkiye Bilimsel ve Teknolojik Araştırma Kurumu