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To make the robot snake turn to the right, the same sine wave pattern will need to occur in the vertical moving body segments, but the snake s body will also need to oscillate between the middle position and a position where the body is arched to the right The pulsout values needed to control this movement are listed in Table 59 and will be used when programming the snake Figure 562 shows the two positions that the snake s body will oscillate between to turn to the right You might have noticed that when positioning the robot s body to the right, smaller pulsout values were used This is to take into account the extra weight of the servos that are positioned on the right side of the snake s body



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Body Position 1 Servo and port address 1 PortB2 2 PortB3 3 PortB7 4 PortB6 5 PortB5 6 PortB4 Pulsout value 150 210 150 100 150 210

Once you create the table, then insert the following rows into it:

Body Position 2 Servo and port address 1 PortB2 2 PortB3 3 PortB7 4 PortB6 5 PortB5 6 PortB4 Pulsout value 190 100 190 210 190 100

Figure 614 Immediate submental region under the chin is photoprotected and exhibits less sun damage than the lateral neck





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The next section outlines conditioning the input received by the infrared sensor The motion control algorithms and sensor input routines will then be put together into one main control program The infrared software routine will need to take input from the infrared sensor so that the robot can change its behavior to safely avoid any obstacles it may encounter while moving through its environment A software subroutine will be developed to monitor the infrared sensor modules, perform signal processing to clean up any background noise or transient signals to make the information more useful, and then return results to the robot s main program In this behavior-based method of artificial intelligence, the robot will continue on with the dominant behavior of exploring, and will change that course of action immediately based on sensor input We want the main program to call the subroutine and have the subroutine simply return a value of either a 1 or a 0, with 0 indi177

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cating that no object was sensed and 1 indicating that an object is present These values will be stored in the variable object_detect When the program execution is returned back to the main program, certain decisions can easily be made, based on this information The infrared subroutine takes 40 samples from the module and counts the number of positive hits received The number of samples taken can also be configured by changing the variable num_samples Because of stray infrared and signals from the environment, the module is constantly producing false positive signals that are referred to as noise The average acceptable amount of noise picked up by the sensor module is called the noise floor The routine needs to set a threshold point above the typical amount of noise and report a sensed object only if the number of positive signals received throughout the number of samples taken exceeds the noise floor With the PNA4602M sensor modules, I found that the typical false positive was actually very low five for every 40 samples taken To be on the safe side, the threshold is set at 25 for every 40 samples, to ensure that an object is present By changing the threshold value, you can change the sensitivity and distance detection response of the module If you want a more accurate reading, the num_samples value can be increased, but will take more time for the routine to execute The last option is using the mode select push button to invoke the infrared sensor calibration routine This will enable the user to simply push the button on the robot s head to calibrate the sensor, as described earlier The experimenter can also develop a software routine to use the push button to choose different modes of behavior when the robot starts up When the main software routine senses that the button has been pushed, it goes into a tight loop until it senses that the switch has been let up before going to the.

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