Project RFP’s Brian Bayliss Mathew Dicke Nathan Ferrel.

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Project RFP’s Brian Bayliss Mathew Dicke Nathan Ferrel

Transcript of Project RFP’s Brian Bayliss Mathew Dicke Nathan Ferrel.

Page 1: Project RFP’s Brian Bayliss Mathew Dicke Nathan Ferrel.

Project RFP’s

Brian BaylissMathew DickeNathan Ferrel

Page 2: Project RFP’s Brian Bayliss Mathew Dicke Nathan Ferrel.

Overview

Discussion of RFP #1 (Maze) Discussion of RFP #2 (Scavenger

Hunt) Cost Benefit Analysis Questions?

Page 3: Project RFP’s Brian Bayliss Mathew Dicke Nathan Ferrel.

Analysis of RFP #1 Maze Solving Robots Objective Build two computer controlled robots

that can navigate their way through a maze while communicating with one another. The task is completed when each robot finds the end and then returns to the beginning of the maze. The competition is won by the fastest maze solving time.

Page 4: Project RFP’s Brian Bayliss Mathew Dicke Nathan Ferrel.

Analysis of RFP #1 Maze Solving Robots

Robot Operation - must be autonomous

- simultaneously solve maze.- The robots must communicate wirelessly. (Once a solution is found the other robot will be sent the solution and it must follow it.)

Page 5: Project RFP’s Brian Bayliss Mathew Dicke Nathan Ferrel.

Analysis of RFP #1 Maze Solving Robots

Robot Operation - once each robot gets to the end of

the maze it must be able to retrace its path back to the beginning.- they must be able to avoid colliding with one another in the hallways (time penalties will result)

Page 6: Project RFP’s Brian Bayliss Mathew Dicke Nathan Ferrel.

Analysis of RFP #1 Maze Solving Robots

Robot Operation - they must stay within the walls

of the maze (time penalties will result and possible disqualification).

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Analysis of RFP #1 Maze Solving Robots The Maze - Maze walls will consist of white tape

on the black floor of the arena- Start and end will be represented by different colored tape- Hallways will be 25 cm wide- Only one solution to each maze- Maze layout will be unknown prior to each competition

Page 8: Project RFP’s Brian Bayliss Mathew Dicke Nathan Ferrel.

Analysis of RFP #1 Maze Solving Robots

Page 9: Project RFP’s Brian Bayliss Mathew Dicke Nathan Ferrel.

Analysis of RFP #1 Maze Solving Robots

Robot Physical Design Specs- built from provided components- within $200 budget for extra parts- fit within a 13 cm x 10 cm square (no height restriction)- wireless communication scheme chosen by groups.

Page 10: Project RFP’s Brian Bayliss Mathew Dicke Nathan Ferrel.

Analysis of RFP #1 Maze Solving Robots

StrategyIt would increase efficiency for each robot to let the other one know what paths it has taken in the maze.

Page 11: Project RFP’s Brian Bayliss Mathew Dicke Nathan Ferrel.

Overview

Discussion of RFP #1 (Maze) Discussion of RFP #2 (Scavenger

Hunt) Cost Benefit Analysis Questions?

Page 12: Project RFP’s Brian Bayliss Mathew Dicke Nathan Ferrel.

Analysis of RFP #2 Scavenger Robots

Objective Build a computer controlled robot

that searches an arena for specific items with certain shapes, sizes, and colors. A “list” of items is given to the robot at the beginning of the competition. It must find those items and return them to its base before time is up.

Page 13: Project RFP’s Brian Bayliss Mathew Dicke Nathan Ferrel.

Analysis of RFP #2 Scavenger Robots

Robot Operation - must be autonomous

- must be able to discriminate between objects based on shape, color, and size. - must be able to collect items and take them to their home basket.

Page 14: Project RFP’s Brian Bayliss Mathew Dicke Nathan Ferrel.

Analysis of RFP #2 Scavenger Robots

Robot Operation - must implement collision

avoidance- must be able to identify home basket

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Analysis of RFP #2 Scavenger Robots

The Arena - consists of a mostly open area

of 5 ft x 10 ft- baskets on each end of the arena- possible obstacles throughout the arena

Page 16: Project RFP’s Brian Bayliss Mathew Dicke Nathan Ferrel.

Analysis of RFP #2 Scavenger Robots

Page 17: Project RFP’s Brian Bayliss Mathew Dicke Nathan Ferrel.

Analysis of RFP #2 Scavenger Robots

Robot Physical Design Specs- built from provided components- within $100 budget for extra parts- fit within a 30 cm cube

Page 18: Project RFP’s Brian Bayliss Mathew Dicke Nathan Ferrel.

Analysis of RFP #2 Scavenger Robots

Strategy1. Pick up each item separately and return to basket one at a time.2. Pick up multiple items at once and return to basket after obtaining a full payload.

Page 19: Project RFP’s Brian Bayliss Mathew Dicke Nathan Ferrel.

Overview

Discussion of RFP #1 (Maze) Discussion of RFP #2 (Scavenger

Hunt) Cost Benefit Analysis Questions?

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Cost Benefit AnalysisRFP #1

Extra Required Expenses - Wireless Communications- Multiple Robots

More work and time? Experience in wireless

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Cost Benefit AnalysisRFP #2

No Required Extra Expenses- Cameras- Better Sensors

More Mechanical Work Possibly Less Stress Exciting

Page 22: Project RFP’s Brian Bayliss Mathew Dicke Nathan Ferrel.

Overview

Discussion of RFP #1 (Maze) Discussion of RFP #2 (Scavenger

Hunt) Cost Benefit Analysis Questions?

Page 23: Project RFP’s Brian Bayliss Mathew Dicke Nathan Ferrel.

QUESTIONS?