Topological complexity and efficiency of motion planning algorithms

Article Properties
  • DOI (url)
  • Publication Date
    2018/12/03
  • Indian UGC (journal)
  • Citations
    6
  • Zbigniew Błaszczyk Adam Mickiewicz University, Poznan, Poland
  • José Gabriel Carrasquel-Vera Adam Mickiewicz University, Poznan, Poland
Cite
Błaszczyk, Zbigniew, and José Gabriel Carrasquel-Vera. “Topological Complexity and Efficiency of Motion Planning Algorithms”. Revista Matemática Iberoamericana, vol. 34, no. 4, 2018, pp. 1679-84, https://doi.org/10.4171/rmi/1039.
Błaszczyk, Z., & Carrasquel-Vera, J. G. (2018). Topological complexity and efficiency of motion planning algorithms. Revista Matemática Iberoamericana, 34(4), 1679-1684. https://doi.org/10.4171/rmi/1039
Błaszczyk Z, Carrasquel-Vera JG. Topological complexity and efficiency of motion planning algorithms. Revista Matemática Iberoamericana. 2018;34(4):1679-84.
Citations
Title Journal Journal Categories Citations Publication Date
A state-of-the-art review on topology and differential geometry-based robotic path planning—part I: planning under static constraints International Journal of Intelligent Robotics and Applications
  • Technology: Mechanical engineering and machinery
1 2024
Constraint-free discretized manifold-based path planner International Journal of Intelligent Robotics and Applications
  • Technology: Mechanical engineering and machinery
2023
Geodesic complexity of homogeneous Riemannian manifolds Algebraic & Geometric Topology
  • Science: Mathematics
2023
Homotopic Distance and Generalized Motion Planning

Mediterranean Journal of Mathematics
  • Technology: Technology (General): Industrial engineering. Management engineering: Applied mathematics. Quantitative methods
  • Science: Mathematics
2 2022
Geodesic complexity via fibered decompositions of cut loci

Journal of Applied and Computational Topology 2022
Citations Analysis
The category Technology: Mechanical engineering and machinery 2 is the most commonly referenced area in studies that cite this article. The first research to cite this article was titled Geodesic complexity of motion planning and was published in 2021. The most recent citation comes from a 2024 study titled A state-of-the-art review on topology and differential geometry-based robotic path planning—part I: planning under static constraints. This article reached its peak citation in 2023, with 2 citations. It has been cited in 4 different journals. Among related journals, the International Journal of Intelligent Robotics and Applications cited this research the most, with 2 citations. The chart below illustrates the annual citation trends for this article.
Citations used this article by year