Full Study, Model Verification, and Control of a Five Degrees of Freedom Hybrid Robotic-Assisted System for Neurosurgery.

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

PMID: 39905681

Abstract

BACKGROUND: Neurosurgery demands high precision, and robotic-assisted systems are increasingly employed to enhance surgical outcomes. This study focuses on a hybrid robotic-assisted system for neurosurgery, addressing forward and inverse kinematics, Jacobian matrices, and system singularities.

Authors

Ahmed Sedky

Mechanical Engineering Department, Higher Technological Institute, 10th of Ramadan, Egypt.
Nader A Mansour

Mechatronics Engineering Department, EUI Egypt University of Informatics, Cairo, Egypt.
Ahmed El-Assal

Mechanical Engineering, Department, Benha University, Benha, Egypt.
Mahmoud Magdy

Mechanical Engineering, Department, Benha University, Benha, Egypt.

Keywords

Algorithms Biomechanical Phenomena Computer Simulation Equipment Design Feedback Humans Neurosurgical Procedures Reproducibility of Results Robotic Surgical Procedures Robotics Surgery, Computer-Assisted

External Resources

View on PubMed Access via DOI PubMed (39905681)

Full Study, Model Verification, and Control of a Five Degrees of Freedom Hybrid Robotic-Assisted System for Neurosurgery.

Abstract

Authors

Keywords

External Resources

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