Path Planning Comparison Strategies for Mobile Robot Navigation
Anderson F. de S. Lima, Marcella G.S. dos Santos, João Vitor Silva Mendes, Matheus A. da Silva, M. A. Reis
- Year
- 2023
- Citations
- 2
- Access
- Open access
Abstract
Autonomous navigation is an essential application because it allows the robot to perform activities without human interference. It enables the execution of tasks that pose a risk or difficulty to the human being. This material aims to present the research to evaluate the performance of different navigation algorithms. The results obtained in the first phase of the research will be highlighted, in which the A* (A Star) and Dijkstra techniques were evaluated. The robot was integrated into the Robot Operating System (ROS) framework, and the navigations were performed in a labyrinth-like environment.
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