Model-Based State Recognition of Bone Drilling with Robotic Orthopedic Surgery System
文献类型：会议论文
| 作者 | Haiyang Jin; Ying Hu; Zhen Deng; Peng Zhang; Zhangjun Song; Jianwei Zhang |
| 出版日期 | 2014 |
| 会议名称 | Robotics and Automation (ICRA), 2014 IEEE International Conference on |
| 会议地点 | 香港 |
| 英文摘要 | Screw path drilling is an important process among many orthopedic surgeries. To guarantee the safety and correctness of this process, a model-based drilling state recognition method is proposed in this paper. The thrust force in the drilling process is modeled based on an accurate 3D bone model restructured by means of Micro-CT images. In theoretical modeling of the thrust force, the resistance and the elasticity of the bone tissues are considered. The cutting energy and elastic modulus are defined as the material parameters in the theoretical model, whic |
| 收录类别 | 其他 |
| 语种 | 英语 |
| 源URL | [http://ir.siat.ac.cn:8080/handle/172644/5601]  |
| 专题 | 深圳先进技术研究院_集成所 |
| 作者单位 | 2014 |
| 推荐引用方式 GB/T 7714 | Haiyang Jin,Ying Hu,Zhen Deng,et al. Model-Based State Recognition of Bone Drilling with Robotic Orthopedic Surgery System[C]. 见:Robotics and Automation (ICRA), 2014 IEEE International Conference on. 香港. |
入库方式： OAI收割
来源：深圳先进技术研究院
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