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Full-Text Articles in Life Sciences
Collaborative Path Planning Of Food Picking Robot Based On Discrete Multi-Objective Cuckoo Algorithm, Liu Jian, Hu Zhu-Bing, Zhao Xue-Chao
Collaborative Path Planning Of Food Picking Robot Based On Discrete Multi-Objective Cuckoo Algorithm, Liu Jian, Hu Zhu-Bing, Zhao Xue-Chao
Food and Machinery
Objective: In order to improve the picking efficiency of raw materials in large food processing and storage, a collaborative path planning method of food picking robot based on discrete multi-objective cuckoo algorithm is proposed. Methods: Aiming at the problem of picking multi location raw materials according to the proportion of food processing formula, the cooperative path planning model of multi-objective food picking robot was established, which took the total moving distance, total energy consumption and total weight of periodic picking raw materials as indicators and the Pareto optimal solution discrete multi-objective cuckoo algorithm (DMCA) was proposed. The three-layer cuckoo code …
Research On Food Parallel Robot Grasping Technology Based On Ipso-Bpnn-Pid Control, Huang Chong-Fu, Chang Yu, Liu Li-Chao
Research On Food Parallel Robot Grasping Technology Based On Ipso-Bpnn-Pid Control, Huang Chong-Fu, Chang Yu, Liu Li-Chao
Food and Machinery
Objective: In order to solve the problems of low efficiency and poor precision of parallel robot in food sorting. Methods: Based on the structure of the food sorting system, a moving target grasping strategy of delta robot based on Improved BP neural network and PID control is proposed. The improved particle swarm optimization algorithm is used to optimize the initial weight of BP neural network, and the optimized BP neural network is used to adjust the PID control parameters in real time. The performance of this method is analyzed by experiments, and its superiority is verified. Results: …
Path Planning Of Food Robot Based On Density Peak Clustering Parallel Sparrow Search Algorithm, Hao Jie, Tang Ye-Jian
Path Planning Of Food Robot Based On Density Peak Clustering Parallel Sparrow Search Algorithm, Hao Jie, Tang Ye-Jian
Food and Machinery
Objective:In order to improve the efficiency of multi-point moving path planning of food picking robot, a path planning method of food picking robot based on density peak clustering parallel sparrow search algorithm is proposed.Methods:The path planning model of food picking robot was established with the total moving distance, path smoothness between points and moving safety as the evaluation indexes. While ensuring the moving safety of the robot, the path smoothness was improved and the moving distance was reduced as much as possible. The density peak clustering sparrow search algorithm (DSSA) was designed, as the improved density peak …
Food Sorting Delta Robot Positioning And Grasping Technology Based On Binocular Vision, Mi Xi-Feng, Shang Zhan-Lei, Fan Yuan-Yuan, Meng Xiao-Chuan
Food Sorting Delta Robot Positioning And Grasping Technology Based On Binocular Vision, Mi Xi-Feng, Shang Zhan-Lei, Fan Yuan-Yuan, Meng Xiao-Chuan
Food and Machinery
Objective:Solve the problems of poor positioning accuracy and low grasping success rate of the Delta robot in food sorting, and improve the robot's flexible grasping ability.Methods:Based on the existing binocular vision and delta robot technology, a flexible grasping method of delta robot based on binocular vision was proposed. Zhang Zhengyou calibration method was used to calibrate the camera, the target was identified and located by Hough transform at the chord midpoint, and the delta robot was controlled to grasp the dynamic target according to PID tracking and grasping. The feasibility of this method was verified by analyzing …
Path Planning Of Food Sorting Robot Based On Improved Chicken Swarm Optimization Algorithm, Liu Fu, Chen Hong-Ming
Path Planning Of Food Sorting Robot Based On Improved Chicken Swarm Optimization Algorithm, Liu Fu, Chen Hong-Ming
Food and Machinery
Objective:In order to improve the efficiency of path optimization of multi station food sorting robot, a path planning scheme of food sorting robot based on improved chicken swarm optimization algorithm is proposed.Methods: The two-level path planning model of multi station food sorting robot was constructed by fully consider the optimal picking position of the robot at a single station and the shortest moving distance of the robot between multiple stations. The improved chicken swarm optimization (ICSO) algorithm was designed. The density peak clustering algorithm was used to cluster the population of ICSO, and the individual coding mode …