Environment feature recognition algorithm for rescue robot based on a 2D laser radar
Xizhe Zang, Can Zhang, Yixiang Liu, Jie Zhao
- Year
- 2016
- Citations
- 2
Abstract
It is very important for mobile robot to recognize the surrounding 3D environment in a unknown workspace. This paper proposes a 2D laser radar based 3D environment feature recognition algorithm which is applied to a novel rescue robot with wireless control system. It is used to help rescue robot to avoid obstacles in complex unstructured environment. Firstly, a multi-linked tracked robot platform and the features of control system are introduced. Reliable structure and control system ensure the stability of robot. Then the algorithm of 2D laser radar based 3D environment feature recognition is introduced. It makes a good use of the advantage of the laser radar, and this algorithm can effectively identify the area where there is no obstacle by a simple and fast way. Finally, the communication performance of the control system and the stability and accuracy of this feature recognition algorithm is verified by experiment.
Keywords
Related papers
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