Search research articles

ABOUT JoVE

Overview Leadership Blog JoVE Help Center

AUTHORS

Publishing Process Editorial Board Scope & Policies Peer Review FAQ Submit

LIBRARIANS

Testimonials Subscriptions Access Resources Library Advisory Board FAQ

RESEARCH

JoVE Journal Methods Collections JoVE Encyclopedia of Experiments Archive

EDUCATION

JoVE Core JoVE Business JoVE Science Education JoVE Lab Manual Faculty Resource Center Faculty Site

Terms & Conditions of Use

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

Toward autonomous robotic-assisted and microrobotic surgery.

Science advances·2026

Same author

Genome-wide identification of the cation proton antiporter (CPA) gene family in Setaria italica and potential function analysis of SiNHX3 gene.

Journal of plant physiology·2026

Same author

Design and Validation of a Recirculating Cooling System for Robotic Cardiac Injection Therapy to Improve Patient Safety and Surgeon Workflow.

Journal of medical devices·2026

Same author

Molecular mechanisms and biotechnological advances in herbicide resistance: Insights into the development of herbicide-tolerant crops.

Journal of plant physiology·2026

Same author

Development of a Flexible Parallel Wire Robot for Epicardial Interventions.

The international journal of medical robotics + computer assisted surgery : MRCAS·2026

Same author

Calibration and characterization of electromagnetic position and orientation trackers.

IEEE sensors journal·2025

Search research articles

Related Experiment Video

Updated: May 1, 2026

Automating Tumor Implantation in Zebrafish Larvae for Cancer Research and Medicine

Automating Tumor Implantation in Zebrafish Larvae for Cancer Research and Medicine

Published on: September 19, 2025

Automatic Steering of Manually Inserted Needles.

Guofan Wu¹, Xiao Li¹, Craig A Lehocky²

¹Dept. of Mechanical Engineering, Carnegie Mellon University, Pittsburgh, PA 15213 USA.

Conference Proceedings. IEEE International Conference on Systems, Man, and Cybernetics

|April 23, 2014

Summary

This study introduces automatic 3D steering for manually inserted flexible needles, enhancing clinical safety and precision. The novel control law enables precise path-following for robotic-assisted procedures.

Keywords:

controls medical robotics needle steering path tracking

More Related Videos

Author Spotlight: Enhancing Microinjection Needle Quality by Wet Beveling

Author Spotlight: Enhancing Microinjection Needle Quality by Wet Beveling

Published on: September 27, 2024

Mechanical Manipulation of Neurons to Control Axonal Development

Mechanical Manipulation of Neurons to Control Axonal Development

Published on: April 10, 2011

Related Experiment Videos

Last Updated: May 1, 2026

Automating Tumor Implantation in Zebrafish Larvae for Cancer Research and Medicine

Automating Tumor Implantation in Zebrafish Larvae for Cancer Research and Medicine

Published on: September 19, 2025

Author Spotlight: Enhancing Microinjection Needle Quality by Wet Beveling

Author Spotlight: Enhancing Microinjection Needle Quality by Wet Beveling

Published on: September 27, 2024

Mechanical Manipulation of Neurons to Control Axonal Development

Mechanical Manipulation of Neurons to Control Axonal Development

Published on: April 10, 2011

Area of Science:

Robotics
Medical Engineering
Control Systems

Background:

Flexible needles are robotically steered for clinical targets via 3D curvilinear paths.
Manual needle insertion offers clinicians control over insertion speed for patient safety.

Purpose of the Study:

To present a control law for automatic 3D steering of manually inserted flexible needles.
To enable precise path-following control for enhanced robotic-assisted procedures.

Main Methods:

A look-ahead proportional controller for position and orientation was developed.
The look-ahead distance was designed as a linear function of insertion speed.
Simulations in a 3D brain-like environment were conducted.

Main Results:

The proposed controller demonstrated effective performance in simulations.
Experimental results confirmed the technique's feasibility in both 2D and 3D environments.
The system achieved accurate path-following control for flexible needles.

Conclusions:

The developed control law facilitates automatic 3D steering of manually inserted flexible needles.
This technique enhances precision and safety in robotic-assisted needle insertion procedures.
The approach is validated through simulations and experimental results.