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Path planning on a 2D-grid is a well-studied problem in robotics. It usually involves searching for a shortest path between two vertices on a grid. Single-source path planning is a modified problem which asks to find distances from a given point to all other points on the map. A high-performance algorithm for single-source any-angle path planning on a grid that we named CWave is proposed in this work...
For planning path of a robot from start to destination knowledge about the existence of obstacle is necessary. Various algorithms are proposed for avoidance stationary obstacles in unknown environment. This paper deals with a modified A∗ algorithm for path planning with stationary obstacle. The modified algorithm is based on the concept of nodal weight upgradation. The nodal weight is based on obstacle...
This paper proposes an optimal path planning algorithm incorporating a global and local search mechanism for mobile robots. The global path planning is based on Voronoi graph to establish a backbone path for the map with significantly reduced nodes for the original grid map. With the use of the backbone path, the D* algorithm is adopted to determine a shortest path between the starting and end points...
To hasten the process of saving lives after disasters in urban areas, autonomous robots are being looked to for providing mapping, hazard identification and casualty location. These robots need to maximise time in the field without having to recharge and without reducing productivity. This project aims to improve autonomous robot navigation through allowing comparison of algorithms with various weightings,...
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