Sunday 29 December 2019

EV3 Line Follower With Obstacle Avoidance

In this post, we have implemented a Line Follower, which has the ability to avoid obstacle placed on the line. The Line Follower is an inner edge follower implemented using PID control algorithm. We expect the Line Follower should keep following a threshold value of light. This threshold, is calculated by averaging the Black and White light value of the surface. We have also calculated the Proportional, Integral and Derivative gain of PID algorithm which keeps the robot on the black line. The program works with an IR Beacon which allows us to control the speed of the robot by applying 0 power (to stop), 20% power, 35% power and 45% power. Each of the power values, need different set of PID gains. While following the line, if the ultrasonic sensor detects an obstacle at a distance of 20cm, it takes a turn of 38 degrees with the help of Gyro sensor. The robot then goes forward for 3.5 seconds in 38 degrees direction. Then the robot take a turn of 90 degrees and moves forward, until it finds the black line. It starts moving on the line again. A small video clip showing the performance of the robot is shown below. Also, we have attached the LeJOS program which simulates this behavior of the robot. However, there are few limitations for this program. They are listed below.

  • Currently the program is not enough generic. That means, it does not take into account the readings that the gyro sensor gives, after having one complete round across the oval shaped black line. If the robot takes a complete turn and approaches the same object again, we do not guarantee that this program will function well. We are still working on it. 
  • We have not yet experimented with multiple objects placed on the oval shaped line. We are assuming that the program should work, in case if multiple objects are in a single straight line. 

NOTES: 
  • It would beneficial if you go through the following article, before going through the program. It will explain to you the PID Controller and Line Following concept in detail.
  • The gyro sensor returns positive values of the angle in degrees when it turns clockwise and it returns negative values when it turns anti-clockwise, based on gyro sensor mounting over the robot. We are moving the robot 38 degrees (we came up with this angle measure purely empirically) to move it away from the obstacle. We are making the robot move ahead for 3.5 seconds and then turning it 90 degrees in the other direction to make it meet the line again. We realized that by moving it in 90 degrees, the robot touches the obstacle at some point. Which is not right! In order for this not to happen, we should turn the robot less than 90 degrees and let it meet the line somewhat ahead of the obstacle.
  • The LimitAngle variable is set to 320 + 38 at the end of the loop. This is because with each of the completion around the oval shaped figure drawn with the black line, the angle returned by gyro sensor keeps on increasing by 360 degrees. So, in case we want the robot to go for another round and come across the same obstacle again, the program should work! However, as we mentioned above, we have not tested the program to face the obstacle again after completing the oval path.  



EV3 Limited Wanderer Robot

This post is about a robot, which wanders in a limited area. In this project, we have marked an oval shaped area with a black line. We calibrate the robot with white and black values by making a manual movements on the surface. We then take the threshold (average of black and white values) and expect the robot to turn, when it reaches the threshold. That's the reason, the robot turns 90 degrees, when it reaches half way through the black line. The robot continues the behavior of making turns after finding a black line and keeps itself within the oval. A small clip showing the behavior of robot is shared below. You can also find the LeJOS program, which simulates this behavior, shared below.

In this LeJOS program, we have a single class called LtdWanderer. In its main method, this class initializes the large regulated motors on port B and C. It also initializes the two sensors color sensor and gyro sensor attached to port S4 and S2. The color sensor is initialized in Red mode and gyro sensor in Angle mode. The program then stores the calibrated values of light intensity reflected from the black and white surface. The LeJOS API returns the light intensities in the range 0 to 1. We have multiplied them by 100 and calculated the average light intensity of black and white for further programming logic.

The default behavior of the robot is to keep moving forward with a speed of 180 degrees per second. While moving, it also fetches the samples from the color sensor continuously. The robot checks if the light intensity is greater than average light intensity. If yes, the robot is free to wander further because it is on a white surface. However, when the light intensity goes below the average light intensity, the robot concludes that it is on the black boundary, and it make a left turn to be within its limits. 

NOTE: With each turn the LimitAngle variable increases its value by 90 degrees. We ideally should have reset the sensor and measure the angle each time the robot makes a turn, to check if it is equal to 90 degrees. However, we found that the reset function did not work as we were expecting. The angle measured by the Gyro sensor kept on increasing as and when the robot takes a turn. Hence the purpose of the LimitAngle variable. With the LimitAngle variable, we are checking whether the difference between previous turn angle and the current turn angle is equal to 90 degrees. We then stop the robot from making a turn and let it go straight and wander. 

The robot wanders infinitely until ESCAPE button is pressed.         




Monday 28 October 2019

Lego EV3 Guided Car Parking

Here we have implemented Guided EV3 Car Parking. This car is a line follower which is implemented using a light sensor. The car follows the line and reaches the "statues" which indicate that there is an existence of car parking slot in front of them. The slots may be empty or occupied. Car intercepts these statues using an Infra-red sensor. Once the car intercepts a statue, it tries to find if there is a car already parked in front of the statue. Car recognizes this with the help of Ultrasonic sensor. If the parking is already occupied, the car moves on, in search of an empty parking. Once it finds an empty parking, the car parks itself in that parking place.

As you must have noticed, the three statues are erected in the left of the road (the thick black line) and the car parking is on the right of the road. The three statues, correspond to three parking slots. To intercept the statues, the infra-red sensor is mounted on the back-left of the car. While the ultrasonic sensor is mounted on the back-right of the car, to detect whether the parking slot is empty or a car is already parked on the slot. Once an empty car parking slot is detected, the car takes a right turn to park itself. The gyro sensor is mounted on the front-right of the car and helps the car to turn in 90 degrees.  

NOTE: In order to understand the line follower mechanism, it would be good if you read the following article: EV3 Line Follower

Let me explain the program for guided car parking in more detail. The program is implemented in LeJOS programming language. We have a single class called CarkParking. The main method of the program begins with initializing the motors and the sensors. The four sensors, ultrasonic sensor, infrared sensor, color sensor and the gyro sensor are connected to ports S3, S1, S4, S2 respectively. They are initialized in Distance mode, Distance mode, Red mode and Angle mode respectively. The modes of all the sensors are almost self explanatory, except the Red mode of the color sensor. The Red mode returns the intensity of the reflected Red light from the black/white surface. On initializing all the sensors, the line follower program begins and we follow the following algorithm. 

  • Follow the line
    • Check whether the infrared sensor sample is less than 30cm. 
      • If yes, we know that there is a statue present near the car. Then we go ahead and check if ultrasonic sensor sample is greater than 50 cm. 
        • If yes, we know that the car parking is empty. Then we go ahead and check if gyro sensor sample is greater than -90 degrees
          • If yes, we keep taking a right turn until the gyro sensor sample reaches -90 degrees. 
          • If no, continue to follow the line       

Assumption: This program assumes that the automated car is necessarily searching for car parking slot and does not want to continue driving on the road without any need for parking. 




Thursday 17 October 2019

EV3 Stair Climber (Climbs Stairs of Size 15 cm)

I have assembled the Stair Climber robot as per the instruction manual given here. In this post, I am explaining the details about the robot which I understood. The front part of the robot is a complete "car". This car is attached with two Lego pins, to the rotating belt. A motor is driving the rotating belt to elevate the back wheels and middle wheels of the car. If the belt rotates anti-clockwise, middle wheels come up. If it rotates clockwise, the back wheels come up. The back wheels of the robot, are for keeping the robot stable when all 4 wheels of the car are up in the air. Front wheels are moving with high speed and they are climbing up due to thrust. There is a "gyro sensor" attached to the robot which made me know how much the robot is oriented in "space". It gives me the angle with which the robot has elevated from flat surface. When this angle goes above a certain threshold, I elevate the middle wheels. That's how the entire car goes up. Once the car reaches in a horizontal position on a stair, I bring up the last pair of wheels. To make things clear, there are two phenomena happening in this assembly: Driving and Lifting of the wheels. The following points are worth noting about the robot movements. 
  • The medium motor and one large motor are responsible for driving the back and front wheels respectively to move the robot forward
  • Another large motor is responsible for lifting the middle and back wheels 
  • The middle wheels are not driven, they are only lifted. They are present for proper balance of the car.
The A small video clip showing the performance of the robot is given below. Also, I am sharing the program for the robot movements. Let me explain the program in detail: The program begins with initializing all the three motors. The motor which drives the back wheels is the medium motor connected to port A. It is initialized with speed of 450 degrees per second. The motor which lifts the middle wheels and back wheels is a large regulated motor connected at port D. It is initialized with speed of 180 degrees per second. And lastly, the motor which drives the front wheels is the large regulated motor connected at port B. It is initialized with speed of 630 degrees per second. The front motor is intentionally set at a high speed to achieve a large thrust from the stair. The large thrust, help the front wheels move up on the stairs. The speed of the rest of the two motors is initialized based on observations about how fast/slow the motors should move. 

The touch sensor is connected at port S2 and initialized in Touch mode. This initialization helps in identifying whether the front button on the touch sensor is pressed. However, I am not making use of the touch sensor in this program. Ideally it could be used to stop the robot when it climbs all the stairs. I am programmatically stopping the robot after 2 stairs. The gyro sensor is connected at port S3. It is reset and then initialized in Angle mode. The angle mode returns the rotation angle in degrees since last reset. 

The main program begins with moving the front and the back motors forward with the function moveTheRobotForwardWithFrontAndBackWheels(). (NOTE: if you dig deep into the function, you will realize that if I rotate the motors backwards, the robot moves forward. It looks like there is some issue with my connections or the robot wheel alignment. However, apart from this issue, there is no cause of concern with the functioning of the robot further.) In the process of moving forward, the robot also starts collecting the Gyro sensor and the Touch sensor samples. If the Gyro sensor sample is less than -15 degrees (please remember, our robot is rotating counter-clockwise while climbing up the stairs, which will result into negative Gyro sensor angle.), two things happen: First, the speed of the lifting mechanism and the speed of the back wheels changes to 630 and -121 degrees per second respectively. (NOTE: the present name of the method is changeTheSpeedOfBackAndMiddleWheels(). Instead the name should be changeTheSpeedOfLiftingAndDrivingOfWheels(). The present name is causing a lot of confusion. However, if we rename the method and use it, the confusion will be gone!) I have kept the speed of the back wheels in negative, which will drive the back wheels backwards. This method results in front wheels moving forward, back wheels moving backwards and middle wheels getting lifted. This movement does not allow the robot to topple. The following little figure will make these movements clear. 



Please also note that the forward speed of the front wheels (630) is much more than the reverse speed  of the back wheels (-121). So in essence, the robot will move forward. However, because of the negative/backward speed, it will be protected from toppling from the stairs. Second, the middle wheels get pulled up until the gyro sample is negative. 

Once the gyro sample turns positive, the pull up of the middle wheels will stop and the flag singleStepDone will be set to true. There are certain steps to be performed once single step is done. They are: 
  • Make the robot move forward on the stair until the front and the middle wheels set properly on the stair
  • Back wheels which were on a negative speed and moving backwards as shown in the above figure, are now set to move forward with a positive speed of 540
  • The back wheels are lifted by moving the large motor clockwise. Please take a look at the two methods for pulling up the back wheels (method: startPullUpTheBackWheels()) and for pulling up the middle wheels (method: pullUpTheMiddleWheels()). You will find that they rotate the motors in opposite direction as explained in the first paragraph of the article. 
  When all the steps are done, the robot will stop by stopping all the three motors. 



Thursday 28 March 2019

EV3 - Light Follower

This is a post for EV3 Track3r light follower. Track3r has an attached color sensor which helps it to follow the light. In the video, the kids are projecting a focused light beam with a torch, over the color sensor attached to the robot. The rest of the room is dark. When the robot follows the light, the resulting effect is like, the kids are pulling the robot with the light (without any physical connection to the robot). In my opinion, it is an interesting effect! 

NOTE: It would be good if you read the article for EV3 - Line Follower, before continuing to read the below article. 

For the light follower to function, calibration of "Bright Light" and "Dark" intensities has to be done. The actual algorithm to follow the light is influenced by Jacek Fedorynski's Line Follower NXC program. The LeJOS (Java) program has one class "LightFollower". This class initializes the color sensor and calibrates the sensor for "Bright Light" and "Dark" values. Further, this class has the algorithm to follow the light - given the calibrated values and the light intensity at any given point in time. The rmotors are powered based on the difference between the calibrated values and the light intensity at a given point of time. Below is a small video clip for Light Follower function.