ground utility network deciphering automated machine group 10 blake simonini didier lessage gabriel...
TRANSCRIPT
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GROUND UTILITY NETWORK DECIPHERING AUTOMATED MACHINE
GROUP 10
BLAKE SIMONINIDIDIER LESSAGE
GABRIEL RODRIGUEZ
G.U.N.D.A.M.
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What is it?
A robot whose primary function is solving mazes of varying types using the wall follower method of maze solving
Maze will be custom built with a layout capable of being changed to any type depending on the user’s specifications
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Motivation
Provide a system for exploring locations others cannot.
One of the main advantages of using a robot to traverse unexplored territory becomes evident in places where humans can’t go due to size or potential hazards, such a cave.
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Parts Being Used
Two ultrasonic sensors for the sidesOne ultrasonic sensors for the frontOne MSP430 microcontrollersRC Car BaseTwo XBee Modules
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DIDIER LESSAGE
Failed Design
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GUNDAM 1.0
Chipped gears Solutions?
Attach plastic base to front for reduced friction after lost front wheels
Attach a ball to base to allow for smoother movement
Turns now made virtually impossible on carpeted surface
Blown out motors Solutions?
New motors, resulting in changed values for the software
Low weight support Solutions?
New Chassis
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GUNDAM 2.0
Four ultrasonic sensorsTwo on sides to detect
angles Auto correction
RC Car BaseTwo motors control
front and backIssue?
Blown out sensor during construction
Turning proved difficult without isolation
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BLAKE SIMONINI
GUNDAM 3.0/Controller
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GUNDAM 3.0
• Added a connector to interface with the MSP430 development board without having to remove the Processor
• Cleaned up the wires and used colored wires for what each line was
• Clamps to keep everything organized
• Wires don’t interfere with sensors now
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Motor Microcontroller
Deals with collision detectionCalibration of the motorsDirectly controls whether the robot is turning
left, turning right, or going forwardInterfaces with the Ultrasonic sensors in
order to solve a particular kind of maze (which will be explained later)
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Motor MicrocontrollerH-Bridge
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Motor Microcontroller
Input 1 Input 2 Front Motor Output (Steers left and right)
Low Low Steer Straight
High Low Turn Wheels Left
Low High Turn Wheels Right
High High Steer Straight – Motor Off
Input 1 Input 2 Back Motor Output (Drives forward and backward)
Low Low Nothing Happens
High High Nothing Happens
Low High Drive forward
High Low Drive backward
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Motor Microcontroller
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Battery Options
AA Batteries Wouldn’t supply enough current and when they got
hot they would supply less currentD Batteries
Supplied enough current, but are too heavy.Lithium Polymer
Supplies enough current and is lightweight
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Wireless Subsystem
- ROBOT MODULE
- Mounted on the robot to send and receive information from the MSP430
- COMPUTER MODULE
- Connected through a computer’s USB port to send and receive data from the Java GUI.
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Robot Module
PCB layout XBee Wireless Transceiver Module
Interface with MSP430 through UART
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Computer Module
PCB layout XBee Wireless Transceiver Module
CP2101 UART to USB Interface XBee through UART to PC USB
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XBee Wireless Module
Encrypt data in AES-128 algorithmSpecifications:
3.3V operating voltage 2.4GHz operating frequency Adjustable Power output 1.25-2mW Range 120m Data rate: 250kbps UART interface
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UART to USB Bridge (CP2102)
USB Bus powered powered: 4.0-5.25VBaud rate up to 921.6kbpsOn chip voltage regulatorVirtual COM port for GUI
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Range Finder Subsystem
- INFRARED SENSORS
• The initial plan was to mount one on the left side and another on the right side of the robot.
-ULTRASONIC SENSORS
• The initial plan was to mount one sensor on the front and another on the back of the robot.
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Infrared Range Finder (GP2D120)
Operating Voltage 4.5V to 5.5VOperating Current 33 to 50mAMeasures 4cm to 30cmAnalog output
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Output Voltage (V) vs. Reflected distance (cm)
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IR Sensor Malfunction
During the construction of GUNDAM 2.o, an IR sensor was damaged
Solution? Two ultrasonic sensors were then used to replace the
IR sensors that were originally planned to be used to auto correct and detect paths
GUNDAM 3.0 modified this even further by only using one sensor on each side
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Final Ultrasonic Layout
One ultrasonic sensor mounted on the left, the other on the right Used to auto correct the GUNDAM while traveling
straight Used to detect paths
One ultrasonic sensor in front Used to detect obstacles Used to detect forward paths
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Ultrasonic Range Finder
Measures 2cm to 3mOperating Voltage 5VCurrent consumption 20mAUltrasonic Frequency 40kHzCommunication
Positive TTL Pulse
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Physical Maze
Plastic, Wood, Metal, Rubber, and Paper reflect ultrasonic waves.
Things to consider: Cost : Metal > Plastic > Wood Ease of Manufacturing: Metal > Plastic > Wood
Wooden planks, each one foot in length
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Maze Layout
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Maze Solving (Path Finding) Algorithms
Wall Follower Simple maze solving solution that involves following
the left side of the maze, including any turns that may follow. Will be the default maze solving method
This solution is only valuable in certain maze situations. If the entrance of the maze happens to lie in the center and not on the outside edge, or if a wall happens to lie on its own with no connections, it will fail
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GUNDAM Maze Solving Walkthrough
GUNDAM continues forward until a path is detected on one of its sides. It will try to center itself with the walls while it is moving forward.
If path detected: Check for a left_path(); Check for a front_path(); Check for a right_path();
• When each path is open, we know we have solved the maze.
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How Turning is Done
The Ultrasonic Sensors become inaccurate after they are angled at an object past about 45 degrees.
To determine a turn, we use a wall around the robot for the turn and turn the robot until that wall distance is giving very large and inaccurate values from the sensor.
This way we can get an idea of how far we have turned, even though the sensors aren’t that accurate for turning.
Drawback is that we can’t have a full intersection, since not having at least one wall on a turn would break this idea.
Turning has to be three point turns.
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How To Perform Proper Turns
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Side Feature: Maze Drawing
Draws out maze as GUNDAM solves using the wall follower method
Upon reaching each node, present paths are sent to laptop
The same algorithmic idea on GUNDAM is applied to path to predict next stretch of maze pathways to draw out as the GUNDAM’s next move
Packets may be lost or resent, causing software to not be reliable
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Progress
Testing
Software
Hardware
Design
Research
0 20 40 60 80 100 120
CompletedRemaining
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QUESTIONS?