Project

# Title Team Members TA Documents Sponsor
19 SCARA Drawing Robot
Bingzhe Wei
Chenghao Duan
Tianhao Chi
Dongwei Shi design_review
final_paper
Members: Bingzhe Wei (bwei6) Tianhao Chi (tchi3) Chenghao Duan (cduan2)

Title: SCARA Drawing Robot

Description:

We propose to develop a drawing robot based on an SCARA robot arm https://www.youtube.com/watch?v=vKD20BTkXhk. Overall system processing flow will be as follows:
1. User inputs image to image-processing program on PC.
2. Image processing with program on PC:
a. Style transfer via deep neural networks
b. Clustering of similar colors
c. Pixel fill algorithm to convert to vector strokes
3. Vectors sent to microcontroller program via USB or similar.
4. Microcontroller program does inverse kinematics and commands motors as necessary.

The combination of the SCARA design and stepper motors will enable a very stable and fast drawing platform, while the proposed image processing algorithms enable multiple, arbitrary styles and provide high-quality visual effects. We expect steppers will reduce the need for control.

Proposed circuit will contain an USB-to-Serial converter IC, ATmega644 microcontroller, stepper motor controllers, and optical phototransistors for feedback control, as well as associated support circuitry. We use an ATmega644 with 4K of RAM, double that of ATmega328 as found in regular Arduinos to ensure enough capacity for inverse kinematics, while power will be supplied via a standard wall plug adapter that outputs 12V DC.

Our team also has access to GPUs for training deep neural networks.

Our team members have taken the following courses:

ECE 470 - Robotics
ECE 486 - Control System
SE 423 - Mechatronics
ECE 515 - Control Theory and Design

ECE 547 - Topics in Image Processing - Deep Learning
CS 598 PS - Machine Learning For Signal Processing

S.I.P. (Smart Irrigation Project)

Jackson Lenz, James McMahon

S.I.P. (Smart Irrigation Project)

Featured Project

Jackson Lenz

James McMahon

Our project is to be a reliable, robust, and intelligent irrigation controller for use in areas where reliable weather prediction, water supply, and power supply are not found.

Upon completion of the project, our device will be able to determine the moisture level of the soil, the water level in a water tank, and the temperature, humidity, insolation, and barometric pressure of the environment. It will perform some processing on the observed environmental factors to determine if rain can be expected soon, Comparing this knowledge to the dampness of the soil and the amount of water in reserves will either trigger a command to begin irrigation or maintain a command to not irrigate the fields. This device will allow farmers to make much more efficient use of precious water and also avoid dehydrating crops to death.

In developing nations, power is also of concern because it is not as readily available as power here in the United States. For that reason, our device will incorporate several amp-hours of energy storage in the form of rechargeable, maintenance-free, lead acid batteries. These batteries will charge while power is available from the grid and discharge when power is no longer available. This will allow for uninterrupted control of irrigation. When power is available from the grid, our device will be powered by the grid. At other times, the batteries will supply the required power.

The project is titled S.I.P. because it will reduce water wasted and will be very power efficient (by extremely conservative estimates, able to run for 70 hours without input from the grid), thus sipping on both power and water.

We welcome all questions and comments regarding our project in its current form.

Thank you all very much for you time and consideration!