Happy New Year Everyone!!
I'm back from a short holiday down to the Melbourne Cricket Ground to watch the Boxing Day test. It was very relaxing, but now that I have returned I have lots of robot news to share!
Firstly, despite being unable to find wCK gears anywhere in the southern hemisphere, I have sort of fixed the broken knee servo. Thanks to an emergency surgical field graft, he can now walk fairly normally but has lost the use of his right arm. Apparently I'm not the only person who is having problems with the plastic gears. If you are concerned about damaging your own servos, I suggest you set them to the lowest torque setting. Note that 4 is the LOWEST torque setting, and 0 is the HIGHEST - the manual could probably be more forthcoming on this point.
Now that he's up and mobile again, I've resumed work on getting him to keep his balance while standing.
Whenever I start work on an ambitious project, I find that the only way to keep on track is set myself small targets along the way. I am always coming up with ideas that are easy enough to design, but take far longer to implement - and more than a few of them have fallen by the wayside because my eyes were bigger than my stomach.
So having small, short term achievements keeps me motivated to move on with the long term goal. A very simple method of controlling complex systems (particularly when computing power is limited) is called discrete state-space control. Rather than trying to model the system and predict how it will behave, the system is manually broken down into a discrete set of inputs and outputs. Then, using some very basic rules, the behaviour of the system can be described in very simple terms like: if A, then B.
In the case of the robot trying to maintain it's upright position, you can simplify things by firstly holding most of the joints rigid. Using the feedback information from the ankle servos (04 and 00), you can predict if the robot is tilting too far to the left or right. Then, depending on which state the robot is in, it can take the appropriate action to regain it's balance. Simple, no?
In the video, you can see the robot measuring the angular velocity of it's ankles, and detecting when it's balance is being compromised. It simply steps away from the force to maintain it's stability - just like a human would.
Right now, it only work for left and right - simply because the canned robobuilder animations for forwards and backwards consist of several steps, meaning I will have to write my own motions.
I should probably start putting together my own library of poses anyway, since I'm not too happy with the default ones. The walking and turning motions have a real problem on many surfaces - polished wooden floors are the best so far, but far from perfect.
Here you can see that the robot is having problems moving in the right direction with the stock SidewalkRight/Left actions, to the extend that he goes the wrong way! Because he was off centre to begin with, one foot is carrying most of his weight, so he pushes against the ground and towards my hand.
Code will be available soon, once I've cleaned it up a little and found a nice place to upload it. I think that robosavvy has personal file space for it's members, so I will see if I can make the files public.
Robobob: Life of the party | Bear necessities | One step at a time | It's Alive!! | It was only a matter of time... | All work and no play | Two steps forward... | Computers 101 | Computers 102 | Computers 103