Voronoi diagrams—a survey of a fundamental geometric data structure
ACM Computing Surveys (CSUR)
Spatial tessellations: concepts and applications of Voronoi diagrams
Spatial tessellations: concepts and applications of Voronoi diagrams
Artificial intelligence: a modern approach
Artificial intelligence: a modern approach
Computational geometry: algorithms and applications
Computational geometry: algorithms and applications
Intelligent Control Systems Using Soft Computing Methodologies
Intelligent Control Systems Using Soft Computing Methodologies
Planning Algorithms
| Hi-index | 0.01 |
In robot motion planning a robot should pass around the obstacles, from a given starting position to a given target position, touching none of them, i.e. the goal is to find a collision-free path from the starting to the target position. This task has many specific formulations depending on the shape of obstacles, allowable directions of movements, knowledge of the scene, etc. Research on path planning has yielded many fundamentally different approaches to its solution that can be classified as roadmap methods (visibility graph method, Voronoi diagram) and methods based on cell decomposition. In this work, an approach based on Voronoi diagrams is proposed, considering point, straight line and polygonal obstacles in a completely known scene. Approximating polygonal obstacles by sets of points makes it possible to apply roadmap methods to more complex problems.