Skill-Learning-Based Trajectory Planning for Robotic Vertebral Plate Cutting: Personalization Through Surgeon Technique Integration and Neural Network Prediction

Skill-Learning-Based Trajectory Planning for Robotic Vertebral Plate Cutting: Personalization Through Surgeon Technique Integration and Neural Network Prediction

In robotic-assisted laminectomy decompression, stable and precise vertebral plate cutting remains challenging due to manual dependency and the absence of adaptive skill-learning mechanisms. This paper presents an advanced robotic vertebral plate-cutting system that leverages patient-specific anatomi...

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Bibliographic Details
Main Authors: Heqiang Tian, Xiang Zhang, Yurui Yin, Hongqiang Ma
Format: Article
Language:English
Published: MDPI AG 2024-11-01
Series:Biomimetics
Subjects:
robotic-assisted laminectomy
vertebral plate cutting
trajectory planning
skill learning
BP neural network
Online Access:https://www.mdpi.com/2313-7673/9/12/719
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