Lectures :: ECE 445 - Senior Design Laboratory

Lectures

Spring 2023 Lecture Material:

 

Lecture #1:

(February 17, 2023)

 

 

Getting Started

  • Welcome to the class! (pptx, pdf)

 

 

Pre-Lecture #2:

(before February 24, 2023)

 

 

Beyond Ideation

 

 

Lecture #2:


(February 24, 2023)

 

 

Moving Forward

  • RFA, Proposal, High-Level Requirements, R&V Tables, and Block Diagram details (Slides)

 

Pre-Lecture #3:


(before March 3, 2023)

 

 

Design and Writing Tips

 

 

Lecture #3:


(March 3, 2023)

 

 

Last stop before the Proposal

  • Introduction (pptx)
  • Proposal Details (pptx)
  • Proposal Logistics (pptx)
  • Lab Notebooks (pptx)

 

Pre-Lecture #4:


(before March 10, 2023)

 

 

PCB Exercise Tips

  • Modular Design & Circuit Debugging (pdf)
  • Why PCB Exercise? (pptx)

 

Lecture #4:


(March 10, 2023)

 

 

Intellectual Property

  • Patents - Henry Wang, President IPwe
  • Weekly Meetings Info (pptx)
  • Proposal Q&A

Spring 2020 Video Lectures:

Brainstorming

Finding a Problem (Video)
Generating Solutions (Video)
Diving Deeper (Video)
Voting (Video)
Reverse Brainstorming (Video)
Homework for Everyone (Video)

Important Information

Using the ECE 445 Website (Video)
Lab Notebook (Video , Slides)
Modular Design (Video, Slides)
Circuit Tips and Debugging (Video , Slides)
Spring 2018 IEEE Soldering Workshop (Slides)

Major Assignments and Milestones

Request for Approval (Video, Slides)
Project Proposal (Video, slides)
Design Document (Video, slides)
Design Review (Video, slides)
Writing Tips (Video, slides)

Remote Robot Car Control System with RGBD Camera for 3D Reconstruction

Hao Chen, Yuhao Ge, Junyan Li, Han Yang

Featured Project

## Team Members

- [Yuhao Ge], [yuhaoge2],

- [Hao Chen], [haoc8],

- [Junyan Li], [junyanl3],

- [Han Yang], [hany6].

## Project Title

Remote Robot Car Control System with RGBD Camera for 3D Reconstruction

## Problem

We aim to build a user-friendly control system for assisting users to remotely control a robot car equipped with an RGBD camera in complex indoor environments. The car should be able to build the environment based on the point cloud scanned by the camera, and the remote computer will reconstruct the point cloud to gain the map of the environment.

## Solution Overview

Our solution consists of a Robot Car Subsystem, Camera Subsystem, Remote Control Subsystem, and Human-Robot Interaction Interface. The Robot Car Subsystem includes a robot car and a rotating base for the RGBD camera. The Camera Subsystem captures RGBD images of the surrounding environment and performs real-time 3D reconstruction. The Remote Control Subsystem allows users to control the robot car remotely via a joystick. The Human-Robot Interaction Interface provides a third-person perspective view of the reconstructed environment and allows users to interact with the robot car in real-time.

## Solution Components

- Robot Car Subsystem: Includes a robot car and a rotating base for the RGBD camera.

- Camera Subsystem: Captures RGBD images of the surrounding environment and performs real-time 3D reconstruction using image signal processing software.

- Remote Control Subsystem: Allows users to control the robot car remotely via a joystick.

- Human-Robot Interaction Interface: Provides a third-person perspective view of the reconstructed environment and allows users to interact with the robot car in real-time.

## Criterion for Success

- The remote robot car control system can navigate and avoid obstacles in complex indoor environments.

- The Camera Subsystem can perform real-time 3D reconstruction with high accuracy and reliability.

- The Remote Control Subsystem provides a smooth and responsive control experience for the user.

- The Human-Robot Interaction Interface provides an intuitive and user-friendly way for users to interact with the robot car and view the reconstructed environment.

## Distribution of Work

- Han Yang (EE): Camera Subsystem design and implementation

- Hao Chen (ECE): Remote Control Subsystem design and implementation

- Junyan Li (ECE): Human-Robot Interaction Interface design and implementation

- Yuhao GE (ECE): Robot Car Subsystem design and implementation

## Justification of Complexity

We believe that our team has the necessary skills and knowledge to handle the mechanical and electrical complexity of our project.

Specifically, Han Yang has experience in image signal processing and Hao Chen has experience in remote control systems. Junyan Li has experience in human-robot interaction design, and Yuhao Ge has experience in robotics and mechanical design. Additionally, we plan to use readily available off-the-shelf components and design our system in a modular and scalable way to minimize the complexity and facilitate the development process.