A large number of logistics operations are needed to transport fabric rolls and dye barrels to different positions in printing and dyeing plants, and increasing labor cost is making it difficult for plants to recruit ...A large number of logistics operations are needed to transport fabric rolls and dye barrels to different positions in printing and dyeing plants, and increasing labor cost is making it difficult for plants to recruit workers to complete manual operations. Artificial intelligence and robotics, which are rapidly evolving, offer potential solutions to this problem. In this paper, a navigation method dedicated to solving the issues of the inability to pass smoothly at corners in practice and local obstacle avoidance is presented. In the system, a Gaussian fitting smoothing rapid exploration random tree star-smart(GFS RRT^(*)-Smart) algorithm is proposed for global path planning and enhances the performance when the robot makes a sharp turn around corners. In local obstacle avoidance, a deep reinforcement learning determiner mixed actor critic(MAC) algorithm is used for obstacle avoidance decisions. The navigation system is implemented in a scaled-down simulation factory.展开更多
85 cases of apoplexy were treated with scalp acupuncture,including 52 cases by the methodof slow-rapid reinforcing-reducing and 33 cases by the method of flat twisting.The totak ef-fective rates differed insignificant...85 cases of apoplexy were treated with scalp acupuncture,including 52 cases by the methodof slow-rapid reinforcing-reducing and 33 cases by the method of flat twisting.The totak ef-fective rates differed insignificantly between the 2 methods.However,in respects of im-proving the myodynamia and motile functional disturbances of the limbs,the method ofslow-rapid reinforcing-reducing was markedly superior to the method of flat twisting.展开更多
基金National Natural Science Foundation of China (No.61903078)。
文摘A large number of logistics operations are needed to transport fabric rolls and dye barrels to different positions in printing and dyeing plants, and increasing labor cost is making it difficult for plants to recruit workers to complete manual operations. Artificial intelligence and robotics, which are rapidly evolving, offer potential solutions to this problem. In this paper, a navigation method dedicated to solving the issues of the inability to pass smoothly at corners in practice and local obstacle avoidance is presented. In the system, a Gaussian fitting smoothing rapid exploration random tree star-smart(GFS RRT^(*)-Smart) algorithm is proposed for global path planning and enhances the performance when the robot makes a sharp turn around corners. In local obstacle avoidance, a deep reinforcement learning determiner mixed actor critic(MAC) algorithm is used for obstacle avoidance decisions. The navigation system is implemented in a scaled-down simulation factory.
文摘85 cases of apoplexy were treated with scalp acupuncture,including 52 cases by the methodof slow-rapid reinforcing-reducing and 33 cases by the method of flat twisting.The totak ef-fective rates differed insignificantly between the 2 methods.However,in respects of im-proving the myodynamia and motile functional disturbances of the limbs,the method ofslow-rapid reinforcing-reducing was markedly superior to the method of flat twisting.
