Traditional teaching and learning about industrial robots uses abstract instructions,which are difficult for students to understand.Meanwhile,there are safety issues associated with the use of practical training equip...Traditional teaching and learning about industrial robots uses abstract instructions,which are difficult for students to understand.Meanwhile,there are safety issues associated with the use of practical training equipment.To address these problems,this paper developed an instructional system based on mixed-reality(MR)technology for teaching about industrial robots.The Siasun T6A-series robots were taken as a case study,and the Microsoft MR device HoloLens-2 was used as the instructional platform.First,the parameters of the robots were analyzed based on their structural drawings.Then,the robot modules were decomposed,and 1:1 three-dimensional(3D)digital reproductions were created in Maya.Next,a library of digital models of the robot components was established,and a 3D spatial operation interface for the virtual instructional system was created in Unity.Subsequently,a C#code framework was established to satisfy the requirements of interactive functions and data transmission,and the data were saved in JSON format.In this way,a key technique that facilitates the understanding of spatial structures and a variety of human-machine interactions were realized.Finally,an instructional system based on HoloLens-2 was established for understanding the structures and principles of robots.The results showed that the instructional system developed in this study provides realistic 3D visualizations and a natural,efficient approach for human-machine interactions.This system could effectively improve the efficiency of knowledge transfer and the student’s motivation to learn.展开更多
Despite the support of all kinds of fire prevention measures and high-tech fire prevention equipment,fires still occur frequently because of both anthro-pogenic factors and natural disasters.This issue has drawn the a...Despite the support of all kinds of fire prevention measures and high-tech fire prevention equipment,fires still occur frequently because of both anthro-pogenic factors and natural disasters.This issue has drawn the attention of schools,all levels of government,and other organizations.Many types of organi-zations carry out fire drills throughout the year.Because this kind of drill cannot anticipate the specific circumstances of each fire,which are generally far more complicated than drills,most people cannot correctly choose the optimal escape route from real fires.Thus,a fire-scene virtual simulation system based on the Dijkstra algorithm is here proposed to address such problems as casualties caused by frequent fires and the inability of most people to correctly choose a fire escape route.This virtual fire escape simulation system uses Maya to carry out 3D recon-struction of the fire scene,the Unity engine to conduct interactive function design,and the Dijkstra algorithm to calculate the best escape route.The results of the example indicate that the simulation system solves the problems of the traditional simulation system,such as stiffness,lack of intelligence,and poor simulation.展开更多
文摘Traditional teaching and learning about industrial robots uses abstract instructions,which are difficult for students to understand.Meanwhile,there are safety issues associated with the use of practical training equipment.To address these problems,this paper developed an instructional system based on mixed-reality(MR)technology for teaching about industrial robots.The Siasun T6A-series robots were taken as a case study,and the Microsoft MR device HoloLens-2 was used as the instructional platform.First,the parameters of the robots were analyzed based on their structural drawings.Then,the robot modules were decomposed,and 1:1 three-dimensional(3D)digital reproductions were created in Maya.Next,a library of digital models of the robot components was established,and a 3D spatial operation interface for the virtual instructional system was created in Unity.Subsequently,a C#code framework was established to satisfy the requirements of interactive functions and data transmission,and the data were saved in JSON format.In this way,a key technique that facilitates the understanding of spatial structures and a variety of human-machine interactions were realized.Finally,an instructional system based on HoloLens-2 was established for understanding the structures and principles of robots.The results showed that the instructional system developed in this study provides realistic 3D visualizations and a natural,efficient approach for human-machine interactions.This system could effectively improve the efficiency of knowledge transfer and the student’s motivation to learn.
文摘Despite the support of all kinds of fire prevention measures and high-tech fire prevention equipment,fires still occur frequently because of both anthro-pogenic factors and natural disasters.This issue has drawn the attention of schools,all levels of government,and other organizations.Many types of organi-zations carry out fire drills throughout the year.Because this kind of drill cannot anticipate the specific circumstances of each fire,which are generally far more complicated than drills,most people cannot correctly choose the optimal escape route from real fires.Thus,a fire-scene virtual simulation system based on the Dijkstra algorithm is here proposed to address such problems as casualties caused by frequent fires and the inability of most people to correctly choose a fire escape route.This virtual fire escape simulation system uses Maya to carry out 3D recon-struction of the fire scene,the Unity engine to conduct interactive function design,and the Dijkstra algorithm to calculate the best escape route.The results of the example indicate that the simulation system solves the problems of the traditional simulation system,such as stiffness,lack of intelligence,and poor simulation.
