Developing problem-solving teaching materials based upon Microsoft Robotics Studio and Problem-solving and robots ) that robots and problem-solving are a go well together. What about advanced problem-solving techniques such as artificial intelligence, do simple lego robots go well with these as a way of developing student's skills?
In my opinion it is a yes. As a part of a set of tools I have found them very useful for teaching the principles of simple neurones.
Example code:
import josx.platform.rcx.*;
public class annlf{
public static void main(String[] args)
{
int w[][] ={//put weights here};
int o[]={1,1};
int s1,s2,res1,res2;
int sensor1=0,sensor2=0;
robot_1 tom=new robot_1();
Sensor.S1.activate();
Sensor.S3.activate();
for(;;){
sensor1=Sensor.S1.readValue();
sensor2=Sensor.S3.readValue();
LCD.showNumber(sensor1);
if (sensor1<42)
s1=1;
else
s1=0;
if (sensor2<42)
s2=1;
else
s2=0;
res1=w[0][1]*s1+w[0][2]*s2+w[0][0];
if (res1>=0)
o[0]=1;
else
o[0]=0;
res2=w[1][1]*s1+w[1][2]*s2+w[1][0];
if (res2>=0)
o[1]=1;
else
o[1]=0;
if ((o[0]==1)&&(o[1]==1))
tom.forward1(10);
if ((o[0]==0)&&(o[1]==0))
tom.backward1(20);
if ((o[0]==1)&&(o[1]==0))
tom.tlturn(20);
if ((o[0]==0)&&(o[1]==1))
tom.trturn(20);
LCD.refresh();
}
}
}
The example code uses two neurones to produce a line follower. The nice thing about this though is it easy to adapted this for a single neuron or multiple neuron tasks. For more on this some examples can be found here.
The above approaches used the Mindstorms RCX robots but it can equally be done with the newer NXT robots.
