Force detecting gripper and flexible micro manipulator for neurosurgery.

Area of Science:

• Biomedical Engineering
• Robotics
• Neurosurgery

Background:

• Deep-seated tumors present significant challenges for traditional neurosurgical approaches.
• Minimally invasive techniques are crucial for reducing patient trauma and improving recovery.
• Existing robotic systems may lack the dexterity and sensory feedback required for complex deep-seated tumor removal.

Purpose of the Study:

• To develop a force-detecting gripper with a flexible micro-manipulator for less invasive robotic neurosurgery.
• To enable precise targeting and manipulation of deep-seated tumors through narrow surgical access points.
• To enhance the safety and efficacy of robotic neurosurgical interventions.

Main Methods:

• Development of a gripper incorporating strain gauges for precise gripping force detection.
• Integration of a flexible micro-manipulator capable of end-effector articulation and rotation.
• Testing the system's ability to approach targets and detect removal forces in simulated environments.

Main Results:

• The developed micro-manipulator demonstrated flexible approach capabilities towards target sites.
• The force-detecting gripper accurately measured gripping forces applied to soft materials.
• Clear detection of the force required to extract a target was achieved.

Conclusions:

• The novel force-detecting gripper and flexible micro-manipulator represent a significant advancement in robotic neurosurgery.
• This technology offers improved precision and tactile feedback for minimally invasive procedures on deep-seated tumors.
• Further development could lead to enhanced patient outcomes in complex neurosurgical operations.