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Updated: May 25, 2026

Visualizing Motion Patterns in Acupuncture Manipulation
Published on: July 16, 2016
Experimental evaluation of a coaxial needle insertion assistant with enhanced force feedback
Danilo De Lorenzo1, Yoshihiko Koseki, Elena De Momi
1Politecnico di Milano, Bioengineering Department, Neuroengineering and Medical Robotics Laboratory, Piazza Leonardo Da Vinci 32, 20133 Milano, Italy. danilo.delorenzo@mail.polimi.it
A new robotic needle assistant improves tissue detection during insertion by separating tip and shaft forces. Displaying only needle tip force significantly enhanced user ability to detect membranes within soft tissues.
Area of Science:
- Robotics
- Biomedical Engineering
- Surgical Technology
Background:
- Accurate detection of tissue property changes during needle insertion is crucial for diagnosis and preventing damage to vital structures.
- Small force variations from deep membranes can be masked by needle shaft friction, limiting operator perception, especially in delicate procedures like brain surgery.
- Existing methods lack sufficient force feedback to reliably distinguish subtle tissue variations.
Purpose of the Study:
- To develop and evaluate a novel robotic coaxial needle insertion assistant designed to enhance operator force perception.
- To improve the detection of subsurface tissue structures, such as membranes, during needle insertion procedures.
- To differentiate between needle tip forces and shaft friction forces for clearer haptic feedback.
Main Methods:
- Development of a force-controlled (admittance control) robotic coaxial needle insertion assistant.
- Separation of cutting force at the needle tip from shear friction on the needle shaft within the coaxial design.
- Experimental testing with users performing blind needle insertions into artificial tissues with membranes under two feedback conditions: combined shaft/tip force versus tip force only.
Main Results:
- Users demonstrated a significantly higher success rate in detecting membranes when provided with feedback solely from the needle tip force.
- The robotic assistant effectively separated tip forces from shaft friction, providing clearer sensory information.
- The system's performance was found to be compliant with clinical application requirements.
Conclusions:
- The robotic coaxial needle insertion assistant significantly improves the ability to detect subsurface tissue changes by providing enhanced, filtered force feedback.
- Focusing haptic feedback on needle tip interaction, rather than combined forces, is critical for improving surgical precision and safety.
- This technology holds promise for enhancing diagnostic capabilities and procedural safety in various medical interventions requiring needle insertion.
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