Mobile robot navigation in unknown environment based on exploration principles
Ioannis Arvanitakis, Konstantinos Giannousakis, Anthony Tzes
- Year
- 2016
- Citations
- 21
Abstract
This article focuses on the mobile robot's autonomous navigation problem in an unknown environment. Considering a robot equipped with an omnidirectional range-sensor a map of the discovered area is constructed in an iterative manner. Given a target position located in the unexplored territory, initially a motion planning scheme is employed that relies on exploration-principles of the area near the target. This is achieved by assigning an exploration cost function that indirectly attracts the robot close to target. Upon discovery of the target, the robot moves to it following the shortest-distance path. Simulation studies that prove the efficiency of the overall method are presented.
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