Phong Le (EE) Josh Haley (CPE) Brandon Reeves (EE) Jerard Jose (EE)

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Presentation transcript:

Phong Le (EE) Josh Haley (CPE) Brandon Reeves (EE) Jerard Jose (EE)

 Autonomous Robot  Start to end autonomous route  Detection of Improvised Explosive Devices  GPS Enabled  Obstacle Avoidance

 Use of IED has increased since the Vietnam War  Technology improves but yet death by IED increases  Low Budget spending on platforms used for detecting IED’s

 Scan terrain based on start to end autonomous route  Detection of IED  Notify and pinpoint location of detection  Avoid any obstacles encountered on route  Navigate on desert like terrain

Hardware: - Aluminum chassis - Four wheels, 2 inch diameter - Four DC geared brushless motors - Digital video camera with resolution not yet determined based on bandwidth availability - Infrared sensors for obstacle detection and navigation - Zigbee USB wireless module (Range 100m indoors and 1000m line-of-sight) V Li-Polymer battery pack, provide up to two hours of operation - Host PC runs on Windows Software: - Design Embedded Program in C\C++ - Embedded Program must run in a small memory space and fit in onboard flash. - Must be robust to possible errors. - Must successfully navigate the robot toward its goals. - Reliable communication with PC software.

 Knightsweeper shall be able to autonomously through a terrain  Knightsweeper will operate on battery power  Knightsweeper shall be able to detect IED’s with in a range of ()  Knightsweeper shall avoid collisions with obstacles  Knightsweeper shall be able to map its path and navigate to a destination via GPS and A* algorithm.  Knightsweeper shall be able to communicate and send data to the user via telemetry

RESEARCH DESIGN

MATERIALS TEST

IMPLEMENTATION

DRDO Daksha

 Pulse Induction  One coil sending pulses of current  Detection through opposite magnetic field from metal object  Pulse then collapses causing reflected pulse to last longer (echo)  Very Low Frequency  Two coils, one transmitter the second receiver  Transmitting coil emits alternating current to create a magnetic field  Pulses back and forth and reacts once conductive object is detected  Receiver coil reads secondary magnetic field caused by conductive object  Beat Frequency Oscillation  Two separate coils oscillator and a search coil  Oscillator creates a constant signal at a set frequency  Detection of metal by search coil creates a magnetic field  Magnetic field interferes with radio frequency, offset in frequency then creates an audible beat

 Use of Ultrasonic and Infrared Sensors.  TwoMaxbotix LV-MaxSonar-EZ0 High Performance Module mounted on front ▪ Detection Range 6”-245” w/ 45 degree beam width  Two Sharp GP2D12 IR Sensors mounted on sides ▪ Detection Range 3cm to 30cm

 Integrated Power Supply  12 VDC ▪ Server motors  9 VDC ▪ IED Detection  5 VDC ▪ GPS Navigation ▪ StellarisMicrocontroller ▪ GPS Navigation ▪ Stellaris Microcontroller

 Identify type, size, wheels and motors.  A New Design  Use an existing design

 Identify how the vehicle will move.  Determine algorithm for obstacles.  Determine algorithm for detected IED.  Verify motor controller functionality.

 Problem: Quickest Way from A to B avoiding all known obstacles and suspected IEDs  Use the A* algorithm to find the shortest path  Upon IED/Obstacle detection, remove location from the search path and run A* again!

 Needs to accept messages from a PC controller.  Command robot to autonomous, and allow for manual control of systems.  Needs to implement the described AI algorithm  Must initialize and access all of the various  interfaces of the robot.

 PC Software will allow for operator use and will facilitate debugging.  Manually command robot, get sensor data.  Receive constant telemetry from the robot indicating state and location.  Display the robot’s progress on a map display  Display images of suspected IED’s

 Stellaris M Dev board.  Stellaris offers high computational power at 62.5 MIPS.  Offers 64K of RAM  Important for the A* algorithm  Interrupt Driven  Abundance of code examples and libraries

 GPS lack of accuracy  EMF Interference  Power consumption  Wireless Communication Interference  Communication Errors between Sensors, motors, GPS, microcontroller

 Phong Le  IED Detection  Project Management  Josh Haley  GPS  Serial Camera  Main Board  Lead Software Engineer  Brandon Reeves  Obstacle Avoidance  Power Systems Lead  Jerard Jose  Motor control lead  Platform Selection