Request for Approval

Description

The request for approval (RFA) is the very first step in successfully completing a senior design project. Before submitting your RFA, you must post your project idea to the Web Board using the "Idea" post type. Once your idea has been fleshed out through the Web Board, you can move on request for approval through PACE under the My Project page. Once submitted, your project will be cloned to the Web Board as "Project Request" post. You can edit the project on the My Project page, add your teammates and see comments from the instructors. The course staff may provide feedback on your idea (which will appear at the bottom of your project's page), or suggest changes in the scope of the project and ask you to re-submit an RFA. Based on your incorporation of feedback your project will be approved or rejected. If it is rejected, the My Project page will revert back to it's original format and your project will disappear.

Once the course staff has approved the project idea, you will receive instructions on how to submit your project through PACE, at which time you will be assigned a project number in the Projects list, a TA, and a locker in the lab. Once your project is approved, please go to the Projects page, log into the PACE system, and make sure all of the information is correct.

Video Lecture

Video, Slides

Requirements and Grading

The RFA is graded credit/no credit based on whether your project is approved before the deadline. Note that submitting an RFA before the deadline does not guarantee approval before the deadline. The RFA is submitted through PACE under the My Project page, and should be Markdown-formatted with the following information:

# Title

Team Members:
- Student 1 (netid)
- Student 2 (netid)
- Student 3 (netid)

# Problem

Describe the problem you want to solve and motivate the need.

# Solution

Describe your design at a high-level, how it solves the problem, and introduce the subsystems of your project.

# Solution Components

## Subsystem 1

Explain what the subsystem does.  Explicitly list what sensors/components you will use in this subsystem.  Include part numbers.

## Subsystem 2

## ...

# Criterion For Success

Describe high-level goals that your project needs to achieve to be effective.  These goals need to be clearly testable and not subjective.

Projects must be legal and ethical. They must have significant scope and complexity commensurate with the size of the team. This is, of course, a subjective assessment of the course staff. To gain some insight into this judgment, please browse projects from previous semesters. The project must involve the design of a significant hardware component at the circuit level. In exceptional cases, projects not meeting this criteria may be acceptable when augmented by a Special Circuit assignment (however this is typically a last resort).

Beyond these basic requirements, you have total discretion in proposing a project. This is a great opportunity for you to pursue your own interests. Since you choose your own projects, we expect a high level of enthusiasm from you and your team.

Submission and Deadlines

The RFA submission deadline may be found on the Course Calendar. Typically, approval of the RFA is due during the afternoon of the third Thursday of the semester.

Quick Tips and Helpful Hints

Posting: Choosing a project: Choosing partners: Some general project ideas that are fraught with pitfalls:

Oxygen Delivery Robot

Aidan Dunican, Nazar Kalyniouk, Rutvik Sayankar

Oxygen Delivery Robot

Featured Project

# Oxygen Delivery Robot

Team Members:

- Rutvik Sayankar (rutviks2)

- Aidan Dunican (dunican2)

- Nazar Kalyniouk (nazark2)

# Problem

Children's interstitial and diffuse lung disease (ChILD) is a collection of diseases or disorders. These diseases cause a thickening of the interstitium (the tissue that extends throughout the lungs) due to scarring, inflammation, or fluid buildup. This eventually affects a patient’s ability to breathe and distribute enough oxygen to the blood.

Numerous children experience the impact of this situation, requiring supplemental oxygen for their daily activities. It hampers the mobility and freedom of young infants, diminishing their growth and confidence. Moreover, parents face an increased burden, not only caring for their child but also having to be directly involved in managing the oxygen tank as their child moves around.

# Solution

Given the absence of relevant solutions in the current market, our project aims to ease the challenges faced by parents and provide the freedom for young children to explore their surroundings. As a proof of concept for an affordable solution, we propose a three-wheeled omnidirectional mobile robot capable of supporting filled oxygen tanks in the size range of M-2 to M-9, weighing 1 - 6kg (2.2 - 13.2 lbs) respectively (when full). Due to time constraints in the class and the objective to demonstrate the feasibility of a low-cost device, we plan to construct a robot at a ~50% scale of the proposed solution. Consequently, our robot will handle simulated weights/tanks with weights ranging from 0.5 - 3 kg (1.1 - 6.6 lbs).

The robot will have a three-wheeled omni-wheel drive train, incorporating two localization subsystems to ensure redundancy and enhance child safety. The first subsystem focuses on the drivetrain and chassis of the robot, while the second subsystem utilizes ultra-wideband (UWB) transceivers for triangulating the child's location relative to the robot in indoor environments. As for the final subsystem, we intend to use a camera connected to a Raspberry Pi and leverage OpenCV to improve directional accuracy in tracking the child.

As part of the design, we intend to create a PCB in the form of a Raspberry Pi hat, facilitating convenient access to information generated by our computer vision system. The PCB will incorporate essential components for motor control, with an STM microcontroller serving as the project's central processing unit. This microcontroller will manage the drivetrain, analyze UWB localization data, and execute corresponding actions based on the information obtained.

# Solution Components

## Subsystem 1: Drivetrain and Chassis

This subsystem encompasses the drive train for the 3 omni-wheel robot, featuring the use of 3 H-Bridges (L298N - each IC has two H-bridges therefore we plan to incorporate all the hardware such that we may switch to a 4 omni-wheel based drive train if need be) and 3 AndyMark 245 RPM 12V Gearmotors equipped with 2 Channel Encoders. The microcontroller will control the H-bridges. The 3 omni-wheel drive system facilitates zero-degree turning, simplifying the robot's design and reducing costs by minimizing the number of wheels. An omni-wheel is characterized by outer rollers that spin freely about axes in the plane of the wheel, enabling sideways sliding while the wheel propels forward or backward without slip. Alongside the drivetrain, the chassis will incorporate 3 HC-SR04 Ultrasonic sensors (or three bumper-style limit switches - like a Roomba), providing a redundant system to detect potential obstacles in the robot's path.

## Subsystem 2: UWB Localization

This subsystem suggests implementing a module based on the DW1000 Ultra-Wideband (UWB) transceiver IC, similar to the technology found in Apple AirTags. We opt for UWB over Bluetooth due to its significantly superior accuracy, attributed to UWB's precise distance-based approach using time-of-flight (ToF) rather than meer signal strength as in Bluetooth.

This project will require three transceiver ICs, with two acting as "anchors" fixed on the robot. The distance to the third transceiver (referred to as the "tag") will always be calculated relative to the anchors. With the transceivers we are currently considering, at full transmit power, they have to be at least 18" apart to report the range. At minimum power, they work when they are at least 10 inches. For the "tag," we plan to create a compact PCB containing the transceiver, a small coin battery, and other essential components to ensure proper transceiver operation. This device can be attached to a child's shirt using Velcro.

## Subsystem 3: Computer Vision

This subsystem involves using the OpenCV library on a Raspberry Pi equipped with a camera. By employing pre-trained models, we aim to enhance the reliability and directional accuracy of tracking a young child. The plan is to perform all camera-related processing on the Raspberry Pi and subsequently translate the information into a directional command for the robot if necessary. Given that most common STM chips feature I2C buses, we plan to communicate between the Raspberry Pi and our microcontroller through this bus.

## Division of Work:

Given that we already have a 3 omni wheel robot, it is a little bit smaller than our 50% scale but it allows us to immediately begin work on UWB localization and computer vision until a new iteration can be made. Simultaneously, we'll reconfigure the drive train to ensure compatibility with the additional systems we plan to implement, and the ability to move the desired weight. To streamline the process, we'll allocate specific tasks to individual group members – one focusing on UWB, another on Computer Vision, and the third on the drivetrain. This division of work will allow parallel progress on the different aspects of the project.

# Criterion For Success

Omni-wheel drivetrain that can drive in a specified direction.

Close-range object detection system working (can detect objects inside the path of travel).

UWB Localization down to an accuracy of < 1m.

## Current considerations

We are currently in discussion with Greg at the machine shop about switching to a four-wheeled omni-wheel drivetrain due to the increased weight capacity and integrity of the chassis. To address the safety concerns of this particular project, we are planning to implement the following safety measures:

- Limit robot max speed to <5 MPH

- Using Empty Tanks/ simulated weights. At NO point ever will we be working with compressed oxygen. Our goal is just to prove that we can build a robot that can follow a small human.

- We are planning to work extensively to design the base of the robot to be bottom-heavy & wide to prevent the tipping hazard.