Okay, enough of that. What I really want to tell today is two things. Bad news are always first, so let's get it out of the way: I won't have much (if any) time to work on Laterna Magica in the near future.
And the reason is already the good news: I have a veeery interesting graduation project together with 3 colleagues: We're building and programming a robot to attend a robot competition in the USA.
Okay, to make my excitement clear, let's break this down:
We're building a robot
I think this is pretty clear. The competition consists of a few challenges, and the robot has to reflect these hardware-wise to show optimal performance. The challenges are presented at the end of October; an employee of the competiton's organization visits us personally, because we'd be the first team from Europe to attend.
We're programming a robot
This is probably the most interesting part of it. Our project is sponsored by TU Wien, Vienna's technical university, and our job is not just to program the robot, but to do so using a rule- and agent-based artificial intelligence.
- Rule-based is basically a programming approach such as imperative or functional. It means to define a program in terms of condition-reaction pairs. It is supported by a framework which checks the conditions and execites the appropriate actions. While this might not seem spectacular, think about it: have you ever written or seen a program using this approach? Note that this is not another name for an event system; events also result in a reaction, but they only allow for reactions on one-time events (if some event happens), not to states (if some condition holds).
Rule-based systems are good for modelling intelligent behavior. A human reacts to events because of the state-changes they cause, not the events themselves: If a window falls open, you close it because it's cold or loud outside, not because the window has opened. - Agent is just another word for actor. Remember how I wrote about the downloader; it's essentially the same. The only difference is that all this is now integrated into a rule system, which also changes the way how the agents exchange messages. Besides that, the concept of parallel processing stays. In our case, the focus lies on the independence of the actors to cooperatively reach a solution for a problem, and not on simpler multithreading by getting away from traditional synchronization.
- Artificial intelligence always sounds good, but what does it really mean? Our parent project at TU Wien has a very specific goal: To build cooperative robots capable of disassembling Lego models. We won't get anywhere near disassembly, but the cooperation is still there, just in the software though. In the end, an artificial intelligence is always task-oriented, and the border where intelligence begins is not well-defined. The question is very interesting, but more philosiphical than technical, so maybe in a later post.
This is a goal we all really want to reach, but if we do will depend on how we perform. Our project is definitely complex, so if it doesn't work out too well, we won't go. I'm positive about it, though.
The competition we would attend is BotBall, organized by the KISS Institute of Practical Robotics, and we have the honor to be invited directly to the final "Global Conference of Educational Robotics", without attending any of the qualification tournaments. (I hope you can read from all this how proud I am^^)
So the last point to check for today is: This is definitely good news for me, but how is it for you? Well, I'll write about it, of course. Some things might be off-topic in terms of Magic, but artificial intelligence is definitely in, right? Be sure to check back in a few weeks, there are definitely interesting things to come!