Research on Path Tracking Control of Indoor Robot Based on RSSI
Zhiyi Liu
- 发表年份
- 2020
- 引用次数
- 3
摘要
In order to solve the problems of low positioning efficiency and large positioning error in current robot positioning estimation, a robot positioning algorithm based on WiFi signal strength RSSI (Received Signal Strength Indication) was designed. Then EKF algorithm was used to fuse the reference node information and electronic compass information to estimate and correct the robot's position and pose, and to determine the optimal estimated position. MATLAB platform was used to carry out the robot's path tracking control simulation experiment. The results show that the proposed algorithm can realize robot positioning with high accuracy and follow the predetermined path quickly and effectively.
关键词
相关论文
Statistical Learning Theory
Yuhai Wu, Vladimir Vapnik
1999
Artificial intelligence: a modern approach
1995
Fractional Differential Equations
Igor Podlubný
2025
Applied Nonlinear Control
Jean-Jacques Slotine, Weiping Li
1991