To build a smart unmanned restaurant with multi-mobile robots
Guo‐Shing Huang, Yanjie Lu
- 发表年份
- 2017
- 引用次数
- 13
摘要
Compared with a single robot, the system with multiple mobile robots has many advantages; through decomposing some tasks appropriately, the multiple robots can complete different subtasks respectively at the same time and enhance the performance, as well as the stability of the robot can be improved by the cooperation among the members (The robots which is used for only some tasks can be designed more perfectly, the more flexibility can be designed.). This study proposes to build an unmanned intelligent restaurant by the use of multiple robots cooperating with each other. The system uses MATLAB software as a platform, and then uses Vision C # as a design tool to simulate the effect at final. The system can determine to assign the variety number of robots according to the number of guests, and the system will order the robot which is nearest the task to perform according to the decision making. It also plans the path with the Particle Swarm Optimization to obtain a faster convergence speed, enhance the ability of global search; so that the robots can achieve communication, coordination and cooperation, to execute the functions of automatic guest hosting, food delivery, table cleaning, and many other features in the restaurant.
关键词
相关论文
Statistical Learning Theory
Yuhai Wu, Vladimir Vapnik
1999
Artificial intelligence: a modern approach
1995
Applied Nonlinear Control
Jean-Jacques Slotine, Weiping Li
1991
A new optimizer using particle swarm theory
R.C. Eberhart, James Kennedy
2002