The way i see it there are 2 levels of A.I.
1) Path planning, problem solving and "high-level" intelligence. You will find many posts on this forum from people who got their robot to plan its objectives and then update it in reaction to sampled sensor data. Sensors can be the AX-S1 of the Bioloid, a camera or any other variety of sensors. This path planning is what is commonly referred to as A.I. in video games and robot competitions.
2) Another form of A.I. is a lower level of control and path planning which is a bit more complicated and allows the robot to be less prone to falling and their motions to be more aesthetic like humans/animals. Check out Neural-Control, Fuzzy-Control, P.I.D, Kalman-Filter, Inverse-Kinetics etc. Honda's Asimo has surprizingly human motions also because it deploys advanced of control. RC-Servo control and most hobby robot controller-boards use an open-loop control scheme so the motion is pre-defined and it is executed no matter what goes on in the environment. To acheive better motion control, the motors have to continously be updated in reaction to sampled sensor data. The way hobby robotics gyros work is a good example of real-time motion update in reaction to sensory input.
Once advantage of the Bioloid servos is that they do allow you to perform your own low-level control.Statistics: Posted by limor — Wed Jan 03, 2007 1:01 pm
]]>