@paulblart7378 Thank you for your comment. Sorry, but the project code is still under development. I must achieve my goals, and then the code must be revealed. If you are working on pathfinding projects please contact me.
@@mx.s I didn't mean much. What I want to say is, how much performance does it have compared to the fastest known "astar" and what are the advantages and disadvantages
@user-cy7yt8gm7z Thanks for the question. If you are talking specifically about the performance of a software solution, then I can answer that at the moment 2 out of 3 planned optimization steps have not even been started. At the same time, you can already preliminarily evaluate dynamic navigation for multiple agents in 3D space as an indicator of the performance of the software solution. The speed of video with 3D navigation has not been changed, the reaction speed of agents in 3D space is quite fast. Well, given the state of development, I'm not ready to talk fully about the advantages and disadvantages, however, for example, you can handle some reasonable non-static set of dynamically moved targets, and you can also use different prioritization logic for each of such targets.
@littlesaigon1042 Thank you for your question. These are independent agents. They do not follow each other and there is no trick of this kind. I am very sorry that I cannot say more, as I am looking for an investor to continue the development. Once again, thank you very much. Feel free to write to me.
How did you achieve this? 👀👍
This is a new pathfinding solution. I hope we see this in games.
@@mx.s That doesn't answer the question. How did you achieve this? Could you explain or give a link to the code/project if there is one? Thanks
@paulblart7378 Thank you for your comment. Sorry, but the project code is still under development. I must achieve my goals, and then the code must be revealed. If you are working on pathfinding projects please contact me.
Not sure if they have their own system, but you can look into algorithms like astar or flow fields
I want to do that.
You're good
@bossjules2785 Thanks for your comment.
Cool!
Is it fast enough? How is it compared to Astar?
@user-cy7yt8gm7z
thanks for the comment. Sorry, but I didn't understand the meaning of the question about "fast enough". Can you explain?
@@mx.s I didn't mean much.
What I want to say is, how much performance does it have compared to the fastest known "astar" and what are the advantages and disadvantages
@user-cy7yt8gm7z Thanks for the question. If you are talking specifically about the performance of a software solution, then I can answer that at the moment 2 out of 3 planned optimization steps have not even been started. At the same time, you can already preliminarily evaluate dynamic navigation for multiple agents in 3D space as an indicator of the performance of the software solution. The speed of video with 3D navigation has not been changed, the reaction speed of agents in 3D space is quite fast.
Well, given the state of development, I'm not ready to talk fully about the advantages and disadvantages, however, for example, you can handle some reasonable non-static set of dynamically moved targets, and you can also use different prioritization logic for each of such targets.
I just started using Raylib for my project and this is so cool. Do you have the code for this?
Me too
@ltkdt @bossjules2785 Thanks for the comments. The code is still in development. The project is looking for a sponsor to continue the work.
raylib is a cool library. I really liked it and it left a pleasant impression
Are some of them simply following other entities instead of pathfinding themselves? Or is every single one executing the algorithm?
@littlesaigon1042 Thank you for your question. These are independent agents. They do not follow each other and there is no trick of this kind. I am very sorry that I cannot say more, as I am looking for an investor to continue the development. Once again, thank you very much. Feel free to write to me.