Assignment Task

 

Project – AI Robotics class
This project builds on the Raspberry Pi and illustrates several aspects of real-world robotics:
1. Hardware sensors (orientation, acceleration)
2. Image processing and its challenges
3. The functionality to be learned by the agent is extremely easy to express (and hence to reward), but would be almost impossible to implement by hand.

The last point is particularly important, as Reinforcement Learning is dedicated to tasks that cannot be solved otherwise. It is pointless to apply Reinforcement Learning for the sake of doing it, to a task that can be solved with other methods. Reinforcement Learning both is the last-resort solution, and aims squarely at super-human performance (that is, producing policies that are better than what any other method would have provided).

Project Goal
The project is easy to define, as most of its challenges are in the technicalities and learning, not in the objective.
The Raspberry Pi with its Sense Hat has sensors and an LED matrix. The objective of the project is to allow a person to hold his/her Raspberry Pi in front of a webcam (the webcam of a laptop will do). The LED matrix displays a single red dot. The idea is that the red dot must be at the center of the image captured by the webcam, even if the person holding the Raspberry Pi shakes (I don’t have a Sense Hat, so I used a piece of paper to mimic the red LED):
This means that as the person shakes the Raspberry Pi, the red dot on the LED matrix has to move accordingly so that it remains at the center of what the webcam sees. This has to work even if the Raspberry Pi is not fully vertical. If it is impossible to center the dot, because the Raspberry Pi is too off-center for its LED matrix to cover the center of the image, the red dot must be as close to the center of the image as possible.

 

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  • Uploaded By : Brett
  • Posted on : May 27th, 2019

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