首页|Research from Sun Yat-Sen University Provides New Study Findings on Robotics (De ep Reinforcement Learning-Based Robotic Puncturing Path Planning of Flexible Nee dle)
Research from Sun Yat-Sen University Provides New Study Findings on Robotics (De ep Reinforcement Learning-Based Robotic Puncturing Path Planning of Flexible Nee dle)
扫码查看
点击上方二维码区域，可以放大扫码查看
原文链接
NETL
NSTL
By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Data detailed on robotics have been pr esented. According to news reporting fromGuangzhou, People’s Republic of China, by NewsRx journalists, research stated, “The path planning offlexible needles in robotic puncturing presents challenges such as limited model accuracy and poo r real-timeperformance, which affect both efficiency and accuracy in complex me dical scenarios.”
Sun Yat-Sen UniversityGuangzhouPeopl e’s Republic of ChinaAsiaEmerging TechnologiesMachine LearningReinforcem ent LearningRoboticsRobots
NETL
NSTL
