Deep reinforcement learning-based dynamic path planning of flexible needle in robotic puncturing

Flexible needle puncture path planning in surgical robots faces significant challenges, such as limited adaptability to multi-objective environments and poor real-time performance. These issues affect both the accuracy and efficiency of needle puncture, restricting its application in complex medical...

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Egile Nagusiak:	Jiewu Leng, Tengliang Zhu, Zhiqiang Huang, Rongjie Li, Xueliang Zhou, Jun Lin, Ding Zhang
Formatua:	Artigo
Hizkuntza:	Inglês
Argitaratua:	KeAi Communications Co., Ltd. 2026-06-01
Saila:	Biomimetic Intelligence and Robotics
Gaiak:	Reinforcement learning Flexible needle puncture Path planning Dynamic environment Multi-objective optimization
Sarrera elektronikoa:	http://www.sciencedirect.com/science/article/pii/S2667379726000185
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