Roadmap-Based Path Planning - Using the Voronoi Diagram for a Clearance-Based Shortest Path

By Priyadarshi Bhattacharya, Marina L. Gavrilova. IEEE robotics & automation magazine, 2008

335 citations recorded by the source corpus.

Subfields: Aerospace Engineering, Computer Graphics and Computer-Aided Design, Computer Vision and Pattern Recognition

View Paper: https://www.semanticscholar.org/paper/f305ca268402432f2b6436d0df0d4b427d29b01d

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

1. B. K. Patle
2. D. Parhi
3. A. Jagadeesh
4. G. Babu L.
5. Anish Pandey
6. J. Sánchez-Ibáñez

Citations in the corpus

• An improved PSO algorithm for smooth path planning of mobile robots using continuous high-degree Bezier curve (2021, neutral): “Up to now, an increasing amount of algorithms have been developed to devise an optimally planned path for mobile robots such as those using rapidly-exploring random tree (RRT) [5], artificial potential field [6], probabilistic roadmap method (PRM) [7], Voronoi-diagram [8], A ∗ [9] and D ∗ [10], etc.”
• A review: On path planning strategies for navigation of mobile robot (2019, background): “To improve the performance and to eliminate drawbacks such as sharp turns and long loops in the Voronoi diagram, some improvement is provided for effective path planning [31].”