Now showing items 1-3 of 3

    • Multi-agent parallel hierarchical path finding in navigation meshes (MA-HNA*) 

      Rahmani, Vahid; Pelechano Gómez, Núria (2020-02)
      Article
      Open Access
      One of the main challenges in video games is to compute paths as efficiently as possible for groups of agents. As both the size of the environments and the number of autonomous agents increase, it becomes harder to obtain ...
    • Toward human-like pathfinding with hierarchical approaches and the GPS of the brain theory 

      Rahmani, Vahid (Universitat Politècnica de Catalunya, 2020-11-18)
      Doctoral thesis
      Open Access
      Pathfinding for autonomous agents and robots has been traditionally driven by finding optimal paths. Where typically optimality means finding the shortest path between two points in a given environment. However, optimality ...
    • Towards a human-like approach to path finding 

      Rahmani, Vahid; Pelechano Gómez, Núria (Elsevier, 2021-09-02)
      Article
      Restricted access - publisher's policy
      Path finding for autonomous agents has been traditionally driven by finding optimal paths, typically by using A* search or any of its variants. When it comes to simulating virtual humanoids, traditional approaches rarely ...