Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Concept Videos

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

High-T<sub>g</sub> Polyimide Matrix Composites via Backbone Ethynyl Crosslinking: Preparation and Short-Term High-Temperature Performance.

Polymers·2026
Same author

Author Correction: S-nitrosoglutathione reductase GSNOR drives age-related obesity by promoting adipose tissue whitening through de-nitrosation of Beclin-1.

Nature communications·2026
Same author

S-nitrosoglutathione reductase GSNOR drives age-related obesity by promoting adipose tissue whitening through de-nitrosation of Beclin-1.

Nature communications·2026
Same author

The relationship between role stress and compassion fatigue of medical workers: the mediating role of emotional labor and the moderating role of positive psychological capital.

BMC psychology·2026
Same author

Hollow Microstructure-Based Iontronic Pressure Sensors with High Sensitivity and High Linearity over a Broad Range.

ACS sensors·2026
Same author

Synergetic Improvement of Interfacial Performance and Impact Resistance of Carbon Fiber-Reinforced Epoxy Composite via Continuous Electrochemical Oxidation.

Polymers·2025

Related Experiment Video

Updated: Aug 27, 2025

Design and Implementation of a Bespoke Robotic Manipulator for Extra-corporeal Ultrasound
07:41

Design and Implementation of a Bespoke Robotic Manipulator for Extra-corporeal Ultrasound

Published on: January 7, 2019

9.3K

Research on Robotic Humanoid Venipuncture Method Based on Biomechanical Model.

Tianbao He1, Chuangqiang Guo1, Hansong Liu1

  • 1State Key Laboratory of Robotics and System, Harbin Institute of Technology, Harbin, 150001 China.

Journal of Intelligent & Robotic Systems
|September 26, 2022
PubMed
Summary

This study introduces a humanoid venipuncture method using a biomechanical model to improve robotic precision. The novel approach mimics human touch, achieving a 90% success rate in robotic blood draws.

Keywords:
Biomechanical modelForce feedbackStatus perceptionVenipuncture robot

More Related Videos

SSVEP-based Experimental Procedure for Brain-Robot Interaction with Humanoid Robots
11:01

SSVEP-based Experimental Procedure for Brain-Robot Interaction with Humanoid Robots

Published on: November 24, 2015

13.2K
Use of Three-Dimensional Imaging Reconstruction Software as a Training Tool for Cranial Vena Cava Venipuncture in the Ferret
04:18

Use of Three-Dimensional Imaging Reconstruction Software as a Training Tool for Cranial Vena Cava Venipuncture in the Ferret

Published on: July 15, 2025

696

Related Experiment Videos

Last Updated: Aug 27, 2025

Design and Implementation of a Bespoke Robotic Manipulator for Extra-corporeal Ultrasound
07:41

Design and Implementation of a Bespoke Robotic Manipulator for Extra-corporeal Ultrasound

Published on: January 7, 2019

9.3K
SSVEP-based Experimental Procedure for Brain-Robot Interaction with Humanoid Robots
11:01

SSVEP-based Experimental Procedure for Brain-Robot Interaction with Humanoid Robots

Published on: November 24, 2015

13.2K
Use of Three-Dimensional Imaging Reconstruction Software as a Training Tool for Cranial Vena Cava Venipuncture in the Ferret
04:18

Use of Three-Dimensional Imaging Reconstruction Software as a Training Tool for Cranial Vena Cava Venipuncture in the Ferret

Published on: July 15, 2025

696

Area of Science:

  • Biomedical Engineering
  • Robotics
  • Medical Devices

Background:

  • Automated venipuncture robots offer precision but lack human-like sensory feedback, increasing failure rates.
  • Current robotic systems struggle with real-time adaptation to anatomical variations during venipuncture.
  • The absence of tactile and proprioceptive feedback limits the reliability and safety of automated venipuncture.

Purpose of the Study:

  • To develop and validate a humanoid venipuncture method for robots using a biomechanical model.
  • To enhance robotic venipuncture by incorporating simulated human sensations and feedback mechanisms.
  • To improve the success rate and safety of automated venipuncture procedures.

Main Methods:

  • Development of a comprehensive biomechanical venipuncture model accounting for tissue elasticity, cutting, and friction.
  • Conducting extensive simulations and in vitro phantom experiments to validate the biomechanical model under diverse conditions.
  • Implementation of the humanoid venipuncture method on a six-degree-of-freedom robotic system for practical evaluation.

Main Results:

  • The biomechanical model accurately simulates tissue interactions during venipuncture.
  • Robotic venipuncture using the humanoid method achieved a success rate of approximately 90% in rabbit ear vein trials.
  • The developed method demonstrated practicality and efficiency in processing venipuncture-related information for robotic control.

Conclusions:

  • The biomechanical model-guided humanoid venipuncture method significantly enhances robotic performance.
  • This approach addresses the critical need for sensory feedback in automated venipuncture systems.
  • The study paves the way for more reliable and safer robotic blood collection technologies.