Intelligent Robotic Lawn Mower Design
Kai-Sheng Wang, Chen-Kang Huang
- Year
- 2018
- Citations
- 7
Abstract
Mowing is the most fundamental practice to maintain lawn. However, this can be a monotonous, troublesome and dangerous work. It is so parlous that stones and twigs can be thrown out to the operator. It is quite difficult for person to focus during the entire period of time and tragedy can occur. Currently, the sweeping robots are quite common on the market. But, it is not so general to robotic lawn mower. Robotic lawn mower is based on computer vision and several path planning algorithms. In this work, robotic lawn mower is designed that it will run two times to finish its job. At the first round, Simultaneous Localization and Mapping (SLAM) algorithm is the main method to realize the map building, and mower also record the area which is unmown adequately via the camera on the rear of mower. At the second round, mower aims to the area has been marked and move to the area by A* Search and Depth First Search (DFS) to realize the shortest path planning. Therefore, it can perform the better efficiency than other mower which adapted random algorithm and much intelligent.
Keywords
Related papers
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