Skip to content

QualityPoint Technologies News

Emerging Technologies News

Menu
  • About Us
  • Technology
  • Medical
  • Robots
  • Artificial Intelligence (AI)
  • 3D Printing
  • Contact Us
Menu

Huge Discount Offer: 14 ebooks + 2 courses

Texas A&M Researchers Help Give Robotic Arms A Steady Hand For Surgeries

Posted on May 1, 2020

Steady hands and uninterrupted, sharp vision are critical when performing surgery on delicate structures like the brain or hair-thin blood vessels. While surgical cameras have improved what surgeons see during operative procedures, the “steady hand” remains to be enhanced — new surgical technologies, including sophisticated surgeon-guided robotic hands, cannot prevent accidental injuries when operating close to fragile tissue.

In a new study published in the journal Scientific Reports, researchers at Texas A&M University show that by delivering small, yet perceptible buzzes of electrical currents to fingertips, users can be given an accurate perception of distance to contact. This insight enabled users to control their robotic fingers precisely enough to gently land on fragile surfaces.

The researchers said that this technique might be an effective way to help surgeons reduce inadvertent injuries during robot-assisted operative procedures.

One of the challenges with robotic fingers is ensuring that they can be controlled precisely enough to softly land on biological tissue. With this new design, surgeons will be able to get an intuitive sense of how far their robotic fingers are from contact, information they can then use to touch fragile structures with just the right amount of force.

Robot-assisted surgical systems, also known as telerobotic surgical systems, are physical extensions of a surgeon. By controlling robotic fingers with movements of their own fingers, surgeons can perform intricate procedures remotely, thus expanding the number of patients that they can provide medical attention. Also, the tiny size of the robotic fingers means that surgeries are possible with much smaller incisions since surgeons need not make large cuts to accommodate for their hands in the patient’s body during operations.

To move their robotic fingers precisely, surgeons rely on live streaming of visual information from cameras fitted on telerobotic arms. Thus, they look into monitors to match their finger movements with those of the telerobotic fingers. In this way, they know where their robotic fingers are in space and how close these fingers are to each other.

However, just visual information is not enough to guide fine finger movements, which is critical when the fingers are in the close vicinity of the brain or other delicate tissue.

Surgeons can only know how far apart their actual fingers are from each other indirectly, that is, by looking at where their robotic fingers are relative to each other on a monitor.

This roundabout view diminishes their sense of how far apart their actual fingers are from each other, which then affects how they control their robotic fingers.

To address this problem, the research team came up with an alternate way to deliver distance information that is independent of visual feedback. By passing different frequencies of electrical currents onto fingertips via gloves fitted with stimulation probes, the researchers were able to train users to associate the frequency of current pulses with distance, that is, increasing current frequencies indicated the closing distance from a test object. They then compared if users receiving current stimulation along with visual information about closing distance on their monitors did better at estimating proximity than those who received visual information alone.

The researchers also tailored their technology according to the user’s sensitivity to electrical current frequencies. In other words, if a user was sensitive to a wider range of current frequencies, the distance information was delivered with smaller steps of increasing currents to maximize the accuracy of proximity estimation.

The researchers found that users receiving electrical pulses were more aware of the proximity to underlying surfaces and could lower their force of contact by around 70%, performing much better than the other group. Overall, they observed that proximity information delivered through mild electric pulses was about three times more effective than the visual information alone.

This novel approach has the potential to significantly increase maneuverability during surgery while minimizing risks of unintended tissue damage.

News Source: Texas A&M University

Share

Related News:

  1. E-Skin Brings Sense of Touch, Pain to Prosthetic Hands
  2. 3D‑printed Glucose Biosensor for Painless Diabetes Monitoring
  3. Latest 10 Inventions using CRISPR gene Editing
  4. Ingestible medical devices can be broken down with light
Master RAG ⭐ Rajamanickam.com ⭐ Bundle Offer ⭐ Merch ⭐ AI Course

  • Bundle Offer
  • Hire AI Developer

Latest News

  • MIT Researchers Unveil New Framework to Test AI Privacy Risks in Clinical Models January 6, 2026
  • MIT Researchers Develop AI-Driven Robot That Builds Furniture From Text Prompts December 17, 2025
  • Kling O1: A New Breakthrough in AI Video Creation December 4, 2025
  • Coactive: Teaching AI to See and Understand Visual Content June 10, 2025
  • Harvard Sues Trump Administration Over International Student Ban May 23, 2025
  • Stanford Researchers Develop AI Agents That Simulate Human Behavior with High Accuracy May 23, 2025
  • ​Firebase Studio: Google’s New Platform for Building AI-Powered Applications April 11, 2025
  • MIT Researchers Develop Framework to Enhance LLMs in Complex Planning April 7, 2025
  • MIT and NVIDIA Unveil HART: A Breakthrough in AI Image Generation March 25, 2025
  • Can LLMs Truly Understand Time Series Anomalies? March 18, 2025

Pages

  • About Us
  • Basics of 3D Printing
  • Key Innovations
  • Know about Graphene
  • Privacy Policy
  • Shop
  • Contact Us

Archives

Developed by QualityPoint Technologies (QPT)

QPT Products | eBook | Privacy

Timesheet | Calendar Generator

©2026 QualityPoint Technologies News | Design: Newspaperly WordPress Theme