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A* ALGORITHM BASICS FOR PATH FINDING & HEURISTICS METHODS : ARTIFICIAL INTELLIGENCE

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 A* ALGORITHM BASICS FOR PATH FINDING A* , widely used  known form of best-first search & path planning algorithm nowadays in mobile robots,games. this is the function for A*,                                     f(n) = g(n) + h(n) g ( n ) is the cost of the path from the start node to n , and h ( n ) is a heuristic function that estimates the cost of the cheapest path from n to the goal This will find cheapest f(n) value in neighbor nodes to archive goal node. check below image  A to B path finding with g(n),h(n),f(n) value In the final level check below image Now we will check the Algorithm // A* Search Algorithm 1. Initialize the open list 2. Initialize the closed list put the starting node on the open list (you can leave its f at zero) 3. while the open list is not empty a) find the node with the least f on the open list, call it "q" b) pop q off the open list c) generate q's 8 successors
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Arduino + Ultrasonic range Finder Testing With small Automation concept

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 Hi guys,I m Robinroy peter...plz help me to improve my journey  in ROBOTICS
                                 plz Subscribe  my blog and youtube also

    This is a simple testing work in arduino...
beginners  easily  learn  arduino  with my tute  ..my main aim is " i want to find interested people in thz field
with or without knowledge..HERE INTERESTING IS MAIN PART
If u want to Learn ardunio  ==>>>  https://www.arduino.cc/

Ok let we start...
Used parts in thz tute..

  1. Ardunio Mega 2560  ==>>https://www.arduino.cc/en/Main/arduinoBoardMega2560   
  2. Ultrasonic Range finder  ==>> http://www.instructables.com/id/Ultrasonic-Range-detector-using-Arduino-and-the-SR/?ALLSTEPS
  3. Servo Motor  http://www.instructables.com/id/Arduino-Servo-Motors/?ALLSTEPS
Thz s circuit digram 



this is a soruce code :--
###################################################################
 // ---------------------------------------------------------------------------
// Basic Testing codeed by Robinroy peter.
// ---------------------------------------------------------------------------

#include <NewPing.h>
#include <Servo.h>

Servo servo;  // create servo object to control a servo
//plz find servo attach pin is 9..thats defined in setup()
int val;    // variable to read the value from the analog pin

#define TRIGGER_PIN  12  // Arduino pin tied to trigger pin on the ultrasonic sensor.
#define ECHO_PIN     11  // Arduino pin tied to echo pin on the ultrasonic sensor.
#define MAX_DISTANCE 200 // Maximum distance we want to ping for (in centimeters). Maximum sensor distance is rated at 400-500cm.

NewPing ultra_sonic(TRIGGER_PIN, ECHO_PIN, MAX_DISTANCE); // NewPing setup of pins and maximum distance.

void setup() {
  Serial.begin(115200); // Open serial monitor at 115200 baud to see ping results.
  pinMode(13,OUTPUT);
  servo.attach(9);
   servo.write(val);
}

void loop() {
  
  delay(50);                     // Wait 50ms between pings (about 20 pings/sec). 29ms should be the shortest delay between pings.
  Serial.print("Ping: ");
  Serial.print(ultra_sonic.ping_cm()); // Send ping, get distance in cm and print result (0 = outside set distance range)
  Serial.println("cm");
   digitalWrite(13,LOW);
  if((5<ultra_sonic.ping_cm())&&(ultra_sonic.ping_cm()<30)){
    digitalWrite(13,HIGH);
    servo.write(160-val);
    }
    val = 160-val;
    delay(200);
   }
##########################################################################
##########################################################################
Thz is a  Testing video.. plz Subscribe  my blog and youtube also




THANK YOU FOR WATCHING .........PLZ SUBSCRIBE MY BLOG AND YOUTUBE...

Robinroy peter
Location: Kayts, Sri Lanka

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A* ALGORITHM BASICS FOR PATH FINDING & HEURISTICS METHODS : ARTIFICIAL INTELLIGENCE

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 A* ALGORITHM BASICS FOR PATH FINDING A* , widely used  known form of best-first search & path planning algorithm nowadays in mobile robots,games. this is the function for A*,                                     f(n) = g(n) + h(n) g ( n ) is the cost of the path from the start node to n , and h ( n ) is a heuristic function that estimates the cost of the cheapest path from n to the goal This will find cheapest f(n) value in neighbor nodes to archive goal node. check below image  A to B path finding with g(n),h(n),f(n) value In the final level check below image Now we will check the Algorithm // A* Search Algorithm 1. Initialize the open list 2. Initialize the closed list put the starting node on the open list (you can leave its f at zero) 3. while the open list is not empty a) find the node with the least f on the open list, call it "q" b) pop q off the open list c) generate q's 8 successors
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