Or HRDC for short. That is my homage to obstacle avoidance scene. The method is combining the good stuff from HRVO with easy of implementation of DC.

I have done a couple of tests the get my velocity obstacle prototype to reduce the flicker in the velocity selection. Here’s a couple of things that seem to work well.

Usually when I do research to solve some problem, I get fond of some particular method, try it out, get disappointed because it did not quite solve all my cases, then I try to track back towards the root of the idea to try to figure out what might have been the original motivation behind the solution and try to find a better suiting method from there.

I was browsing my old hard drive last night while trying to find some old material in preparation for a lecture in a local game dev school. I found a couple of good docs I’ve written in 2006, which I thought would be worth sharing. The grammar in the docs is the same awful you are used when reading this blog.

I just found this nice repository of old from from International Joint Conference on Artificial Intelligence. Lots of good stuff all the way from 1969.

http://dli.iiit.ac.in/ijcai/

I decided to put the area stuff on hold for a while. The update was becoming too heavy, and I need to revise my plan of attack, and probably just simplify few things too

In a feature looking at the way xaitment is attempting to cater for high-level behaviours and learning with its modular middleware solution, the company’s co-founder has detailed the ups and downs of the German firm’s early history.

I will explain the Finite State Machines concept and I will give an application example. My explanation is based on Chapter 2 of Programming AI By Example book. Thanks Math Buckland for your excellent book. You can download the source code and the executable from here.