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WAITER ROBOT
MTE599B
“FINAL PROJECT”
Dr.Prof.Farid Tolba
Dr.Prof.Mohamed Hamdy
Dr.Prof.Mostafa Eissa
Dr.Prof.Bahaa Nasser
Dr.Prof.Mohamed Ibrahim
Eng waleed el badry
SUPERVISORS: STUDENTS
Khaled shahm 58419
Moaz ALhady 58401
Mohamed Nabil 58508
Mohsen Abd El Aziz 58560
Mostafa Mohamed 58541
Omar Essam 63628
Auto
Recharging
Obstacle
Avoidance
App
Control & Monitoring
Display Order
Screen Fully Automated Wi-Fi connection with
the kitchen and other robots
1 2 3 4
B S F
1
2
3
4
PASTA
Working Scenario
www.presentationgo.com
CONTENTS
Mechanical Design and
manufacturing
Power
communication
control
Autonomous :a-mapping
b-navigation
Result
Mechanical Design and manufacturing
Mechanical Design and
manufacturing
MATLAB for generating trajectory
CONTROL MODELS
Motion Control (Servo Control)
Calculation for motor sizing
• JL = 40795096 g.cm2; WL = 3.125 rad/sec ; ql = .3215 rad/sec2 ;
Pm= 12 w
• Fetching from catalog the closest power match to be the candidate
motor for selection :
Pm = 0.25 Kw ; Wm = 418.8 ; JM = .22 kg.m2 ; Jg = 6.6 g.m2
Power
Objective: Having control over when to start and stop the system
Result: We designated a latching circuit with start and stop buttons
Power
When implementing this circuit
we had a few problems such as
we couldn’t find 5pin relay, so
we had to use relay shield which
uses negative voltage to activate
Power Result:
Power
Delivering the required power to all the system component through out the system
Objective:
Result: We used a buck converter to deliver the power to the components that needed a lower voltages
As the robot is fully automated, we need to make it recharge without the human presence
Objective:
Solution : By using voltage sensor and the charging PCB we make the robot AUTORECHARGE
Fig. 1 charging PCB Fig. 2 voltage sensor
Power
communication
Fig.1 The robot communication chart
Communication
Robot app Kitchen app
FLUTTER
Application
𝜽 𝒔
𝑽 𝒔
=
𝒌
𝑳∗𝒔+𝑹 𝑱∗𝒔+𝒃∗𝒔 +𝑲𝟐  Speed /Volt
𝜽 𝒔
𝑽 𝒔
=
𝒌
𝒔∗( 𝑳∗𝒔+𝑹 𝑱∗𝒔+𝒃∗𝒔 +𝑲𝟐)
Position /Volt
Control
Control
Result
Autonomous
Mapping
RVIZ visualization
The environment on
gazebo
At the first we build our robot in Gazebo and but it in a map that we built to discover it.
RVIZ is used to visualize the map that the robot discover in Gazebo.
Autonomous
Objective : Mapping
The Simulated Result
• DESCRIPTION:-
NAVIGATION STACK TAKES A GOAL POSE FROM EXTERNAL USER , AND THEN
TRIES TO REACH THAT GOAL WHILE AVOIDING OBSTACLES AND
OUTPUTS SAFE VELOCITY COMMANDS THAT ARE SENT TO A MOBILE BASE .
IT TAKES A GOAL POSE FROM EXTERNAL USER BY EITHER TWO WAYS :-
1. PRE-EXISTING TOOL SUCH AS RVIZ.
2.CODE (CPP NODE).
Autonomous
Navigation
Navigation stack :
Global planner(carrot_planner - navfn).
Local planner.
Map_server.
Amcl.
Nav_core.
Move_base.
Cost_map 2d.
Rotate_recovery
1.ROS.
2.TRANSFORM CONFIGURATION.
3.SENSOR INFORMATION (SENSOR SOURCES)
4.ODOMETRY INFORMATION (ODOMETRY SOURCE)
5.BASE CONTROLLER.
6.MAPPING (MAP_SERVER).
7.AMCL.
What does the navigation stack need to run
properly?
Illustration only :-
RESULTS:-
1. SIMULATION-SIMULATION(SOFTWARE ONLY).
2.HARDWARE IN THE LOOP(FUSION BETWEEN HARDWARE AND
SOFTWARE AS PHASE 2 GOES ON IN THE PROCESS).
2.1 LAPTOP TO LAPTOP :
2.2 LAPTOP TO ROBOT :
THANK
YOU

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Autonomous waiter.pptx

Editor's Notes

  1. © Copyright PresentationGO.com – The free PowerPoint and Google Slides template library
  2. This is a chart declare the communication of the robot with pc , the app & Lidar using jetson & the ROS