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Orion Rover Maze solver and Object Detection

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Presentation on theme: "Orion Rover Maze solver and Object Detection"— Presentation transcript:

1 Orion Rover Maze solver and Object Detection
Alexandr Dementyev, Ethan McKee, Binqi Sun , Tyler Velasco Computer Science, University of Central Arkansas 201 Donaghey Ave, Conway, AR 72035

2 Overview Introduction System Overview and Description Methods
Algorithm Evaluation Future Works Conclusion

3 Introduction We have seen many robots that have slight failures that have ended up destroying the whole project. This is best seen when sending robots to space. Nearly ⅔ of all attempts to study Mars have failed. We propose a way to minimize the overall fail rate of robots in testing to see if a robot could still function on a bare minimum of two sensors to complete a maze and to find an object.

4 System Overview and Description
We started our project from scratch

5 Orion Rover (development)
MakeBlock Starter Robot Kit

6 Main Modules Me Orion Me Line Follower Me Ultrasonic Sensor

7 Programming Scratch Programming Language (mBlock)

8 Algorithm Main idea was to use a modified Left-Hand-Rule Algorithm
Once it hit a wall it would turn left till it found the object. Once object pick it up and stop program.

9 Evaluation It solved the maze and found the object but had several problems. Battery Power Arm Strength Number of Sensors Size of Robot (Limit how many sensor you can have)

10 Future Work For future work- More Sensors Better Battery Life
Modification to include Camera

11 Conclusion Overall though we struggled and had several limitations we have shown that even if sensors and modules fail, a robot that still has a few functioning parts and sensors can work and accomplish a task.

12 Acknowledgement We would like to thank NASA for their support of the robot and for Dr. Sun allowing us to work on it.

13 References [1] [2] [3] [4] [5] [6]


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