For
an introduction to Reinforcement Learning, its basic terminologies,
concepts and types read Reinforcement Learning - Part 1 by following
this link:
http://blog.cerelabs.com/2017/04/reinforcement-learning-part-1.html.
For
an introduction to the concept of Q-learning algorithm, q-values and
mathematical representation of the same read Reinforcement Learning
Part- 2 by following this link:
![](data:image/png;base64,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)
CRAWLER
ROBOT
Robotics
and AI- A Perfect Blend
Robotics
and artificial intelligence has made a huge advancement in their
respective fields. But the blend of Robotics and Artificial
Intelligence have created some amazing stuff too. It doesn't seem far
in future when robots can learn themselves what humans can using
Artificial Intelligence. A peek into the future of robots learning
and an introduction to applications of reinforcement learning is what
this article is all about.
Introduction
A
variety of different problems can be solved using Reinforcement
Learning, as agents can learn without expert supervision. In this
project we created a crawler robot.The robot by using two arms to
crawl and pushes its body towards a wall. After reaching the wall it
stops and declares that it has reached the wall. In the process of
reaching the wall, the robot by itself learns the actions that its
arm have to take in order to move towards the wall. This is where
reinforcement learning comes into picture. Reinforcement learning
enables the robot to move its arms in different positions or states
and decide the perfect sequence of actions that maximize the rewards.
Terminology:
In
case of the crawler robot the states are the position of its arm and
hand. Current states is denoted by "s" and next state is
denoted by "s' ". Actions available are moving the arm up
or down and moving the hand left or right. Action is denoted by "a".
The rewards are given as follows: if the robot moves near the wall
i.e. the distance from the wall decreases by 4 cm or more it receives
a reward of +1. When the robot moves away from the wall by 4 cm or
more it receives a reward of -2. Also, if the robot stays in a
particular state without moving it receives a reward of -2. In case
the robot moves near the wall i.e. the distance from the wall
decreases by 4 cm or more it receives a reward of +1. When the robot
moves away from the wall by 4 cm or more it receives a reward of -2.
Also, if the robot stays in a particular state without moving it
receives a reward of -2.
Reinforcement learning for the Robot:
Here
we are going to use model based reinforcement learning to train our
crawler robot to move towards the wall. Using the model based
reinforcement learning type we already know the transitions, hence by
observation the robot knows what state it is in. This can consist on
the current distance from the wall, current position of its arm and
the current position of its hand. Next thing the robot knows is what
actions it can take. So, if the arm of the robot is in the up
position it can move it in the down position, similarly for the hand.
If it is in the left position we can move it to the right position.
Another thing it knows is its distance from the wall, if its less
than 10 cm then robot has to stop its motors.
Based
on the above mentioned data we known the reward it is getting for
staying in the same position that is -2. So after having the
transition the robot starts modeling the environment into a proper
model for itself. It now knows that only moving towards the wall is
going to get it positive rewards.Hence, it now knows its possible
future states and rewards.
After
observation of current and future states and rewards, using value
iteration it can find out out the value function for each state.
Using these values and policy iteration it can find the best policy
to get maximum rewards.
To
sum up, after observing its current positions of the hand, arm and
distance from wall. It calculates the values of each state it could
take and consequences it would face. And finally reaches to a
conclusion of a best policy. In the experiment performed on the
crawler robot, when it learned to move towards the wall, it figured
out when its arm was down and hand moved initially to the left and
then to the right it was getting rewards. Even though this wasn't the
perfect way to move towards the wall. The perfect sequence of actions
to be taken was move arm up, move hand left, move arm down, move hand
right. But as the actions it learned to performed gave it results it
started performing the same actions repeatedly until it reached the
wall.
Now,
let us see how the robot learned this procedure step by step.
Hardware of the crawler robot:
It
consists of a 125x105 mm chassis, with two 65 mm diameter dummy
wheels and a single castor wheel. Length of the hand is 80 mm
including the gripper. The gripper here is a Lego rubber wheel used
to help the robot push itself towards the wall while the gripper was
in contact with the ground. Length of the arm is 100 mm. The arm is
connected to the chassis by a 3.17 kg-cm futaba s3003 servo motor.
The arm was connected to the hand by another futaba s3003 motor. The
robot also has an ultrasonic sensor on its side facing the wall. The
motors and the ultrasonic sensor is connected to a Raspberry Pi 3
board. Connections of Raspberry Pi to the ultrasonic sensor and the
servos are given in the figures below.
In
the following figures the servo is connected to raspberry pi 3 and a
5v power source. You can also power the servo using the raspberry pi
5V and GND pins. The motor has three pins with common colours red,
brown and yellow. Connect the yellow to a gpio pin and red to 5V and
brown to GND on Raspberry Pi.
Q
Learning in the Crawler Robot:
The
Crawler Robot has 4 states, namely arm up-hand left, arm up - hand
right, arm down - hand left, arm down - hand right. It has 4 actions
namely, arm up and down, hand left and right.
Observing
Transitions:
Initially
all pins are set up and motors are started and positioned at arm up-
hand left , which is the zero state. Distance from the wall is
calculated. Then, learning is started.
Learning
Mode:
In
this mode the robot initially models the environment around it and
and starts planning. It first observes its current position of hand
and arm. Robot then creates a 4 x 4 (4 states and 4 actions ) q table
with random float values in the range of -1 and 1. Then it starts an
episode. There are total 10 episodes . In each episode it follows the
following steps:
Step
1: Getting the current position of hand and arm and deciding with
state the robot is in at present.
Step
2: Deciding action to be taken depending on the maximum value in
the Qtable.
Step
3: Calculating (predicting) reward for that action.
Step
4: Considering last action taken and comparing it with the
decided action, if its the same taking another action.
Step
5: After taking action calculating the actual reward received
for that action. The reward depends upon the difference
between current distance of robot from wall and previous distance
from wall.
Step
6: Again observing the current state and considering it as next
state or state prime(s') in reference to the previous
state.
Step
7: Choose if next action to be taken should be a random action or
a definite action. It depends upon the randomness 'ε'. It is
compared to a random value between 0 and 1. If ε <= random
value choose random action, else choose an action with maximum Q
value from the Q table.
Step
8: Decay the randomness with random action decay rate.
Step
9: Find Q(s,a) = (1 - α ) x Q(s,a) + α x (reward + γ x
Q(s',a') ). Update Q value of state 's' and action 'a' in the Q
table to the new found value.
Step
10: Update state to state prime and action to action prime.
Step
11: Save the new found Q table in a .csv files.
Step
12: Taken the chosen action.
Step
13: Check if distance from wall is less than 10 cm. If not repeat
all steps. If yes, stop the motors and declare "Reached
the wall".
Problems and Observations During Q learning of Crawler Robot:
- Servo motor control:
Every
servo motor has a different pulse at which it becomes zero. Initially
frequency was 50 Hz and my duty cycle was 1,0.5 etc. But the motor
never stopped at zero. When program was stopped using
KeyboardInterrupt it use to stop at position near zero but not
exactly at zero.When i increased the frequency to 500Hz the motor
stopped exactly at zero for dutycycle of (0). Hence, the
conclusion is the frequency affects the final position of the motor.
But with frequency 500Hz the motor did not rotate to its full
potential, hence using 50Hz frequency is optimal.
For
FUTABA S3003
- Motor AngleMilli SecsDuty cycle0 degree1 ms5Nuetral1.5 ms7.5180 degree2 ms10
- Same action problem
In
the initial phase step 4 was not included. Step 4 checks whether the
last action is taken is the same as current action. When step 4 was
not included the robot used to perform the same action again and
again. This would waste a lot of time in the learning phase. Hence,
the robot took long time before learning completely.
- Delay problem
Initially
we had delays in between action taken which wasn't necessary and it only slowed down the learning process.
- Ultrasonic Sensor Efficiency
The
ultrasonic sensor used in this robot is HC-SR04. It gives an error of
approximate 0.01 m.So, the difference between the old distance and
current distance was kept more than 0.04 m. This sensor has some
limitations. Once started the sensor needs settling time of 1 sec,
else it behaves abruptly. Also, the sensor has limited range. If the
wall is more than 1 m far from the sensor it behaves abruptly and
gives random readings.
The
difference between the current distance and old distance is 4 cm.This
means unless the robot has moved 4 cm due to the action it wouldn't
get positive or negative reward for action taken. Due to this, while
learning the robot would move approximately 2 cm away , then around 8
cm towards the wall. This affected the learning efficiency.
- Standing Reward
Initially
the robot wasn't provided with a standing reward. If it was not
moving then it would get no reward. But when negative reward was
provided for the not moving the learning process improved and time
was reduced.
References:
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