Project

# Title Team Members TA Documents Sponsor
36 intelligent robot arm
Chenghan Li
Haoran Yang
Yiming Li
Yipu Liao
 design_document1.pdf
design_document2.pdf
other2.pdf
proposal4.pdf
proposal3.pdf
 Wee-Liat Ong
# TEAM MEMBERS
- Haoran Yang [haorany8]
- Chenghan Li [cli104]
- Yiming Li [yiming20]
- Yipu Liao[yipul2]

# TITLE
Intelligent robot arm

# PROBLEM
For individuals with disabilities or limited mobility, it is hard for them to perform certain or multiple taskes. Or under some circumstances, the task is repetitive and boring for human. We want to design a intelligent robot arm that help disabilities and free people from repetitive work.

# SOLUTION OVERVIEW
Our graduation project aims to conceptualize an intelligent robotic arm, proficient in executing diverse tasks through voice and visual recognition. The overarching concept involves a user verbally identifying an object on a table to the robot. The robot, upon receiving the voice command, leverages its camera system to detect the specified object and subsequently manipulate it.

In addition to these fundamental functionalities, the system is designed to interpret intricate voice instructions, such as rotating the object to specific degrees based on predefined references or following a set reference for movement. This innovative project harbors the potential to significantly benefit individuals with visual impairments in managing their daily tasks, as well as aiding those facing critical situations, such as during fires or earthquakes.

# SOLUTION COMPONENTS

# SUBSYSTEM 1
Four or five axis robotics arms

# SUBSYSEM 2

An algorithm that can control the robotics arms to move and grab things

# SUBSYSEM 3

A robotics vision system that contains a camera and an algorithm that can detect certain object and its relative position to the robotic arm

# SUBSYSTEM 4

A voice recognition system that contains a microphone and an algorithm that can recognize what objects that a person is speaking of.

# CRITERION FOR SUCCESS

1. The robotics arm is able to receive and process the relative position of an object that is sent by robotics vision system and grab the target using those information.
2. Robotics vision system is able to detect object and measure the relative position of it and feeds back to the robotics arm
3. Voice recognition system is able to recognize what objects that a person is speaking of and feed back to the robotics vision system.

# DISTRIBUTION OF WORK
- Haoran Yang: CAD model, construct robotics arm
- Chenghan Li: design voice recognition system
- Yiming Li: design robotics vision system
- Yipu Liao: design robotics arm algorithm, construct robotics arm.

Fixed wing drone with auto-navigation

Ziyang An, Zhanhao He, Yihui Li, Zhibo Teng

Featured Project

# Fixed wing drone with auto-navigation

## Group Members

**Zhibo Teng** NetID: zhibot2

**Yihui Li** NetID: yihuil2

**Ziyang An** NetID: ziyanga2

**Zhanhao He** NetID: zhanhao5

## Problem

Traditional methods of data collection, such as using manned aircraft or ground surveys, can be time-consuming, expensive, and limited in their ability to access certain areas. The multi-rotor airfoil UAV being used now has slow flight speed and short single distance, which is not suitable for some long-distance operations. Moreover, it needs manual control, so it has low convenience. Fixed wing drones with auto-navigation can overcome these limitations by providing a cost-effective and flexible solution for aerial data collection.

The motivation behind our design is to provide a reliable and efficient way to collect high-quality data from the air, which can improve decision-making processes for a variety of industries. The drone can fly pre-determined flight paths, making it easier to cover large areas and collect consistent data. The auto-navigation capabilities can also improve the accuracy of the data collected, reducing the need for manual intervention and minimizing the risk of errors.

## Solution Overview

Our design is a fixed wing drone with auto-navigation capabilities that is optimized for aerial data collection. The drone is equipped with a range of sensors and cameras, as well as software that allows it to fly pre-determined flight paths and collect data in a consistent and accurate manner. Our design solves the problem of inefficient and costly aerial data collection by providing a cost-effective and flexible solution that can cover large areas quickly and accurately. The auto-navigation capabilities of the drone enable it to fly pre-determined flight paths, which allows for consistent and repeatable data collection. This reduces the need for manual intervention, which can improve the accuracy of the data and minimize the risk of errors. Additionally, the drone’s compact size and ability to access difficult-to-reach areas can make it an ideal solution for industries that require detailed aerial data collection.

## Solution Components

### Subsystem #1: Aircraft Structure and Design

* Design the overall structure of the plane, including the wings, fuselage, and tail section

* Use 3D modeling software to create a digital model of the plane

* Choose materials for construction based on their weight, durability, and strength

* Create a physical model of the plane using 3D printing or laser cutting

### Subsystem #2: Flight Control System

* Implement a flight control system that can be operated both manually and automatically

* For manual control, design a control panel that includes a joystick and other necessary controls

* For automatic control, integrate a flight controller module that can be programmed with waypoints and flight parameters

* Choose appropriate sensors for detecting altitude, speed, and orientation of the plane

* Implement algorithms for stabilizing the plane during flight and adjusting control surfaces for directional control

### Subsystem #3: Power and Propulsion

* Choose a suitable motor and propeller to provide the necessary thrust for the plane

* Design and integrate a battery system that can power the motor and control systems for a sufficient amount of time

* Implement a power management system that can monitor the battery voltage and ensure safe operation of the plane

### Subsystem #4: Communication and Telemetry

* Implement a wireless communication system for transmitting telemetry data and controlling the plane remotely

* Choose a suitable communication protocol such as Wi-Fi or Bluetooth

* Develop a user interface for displaying telemetry data and controlling the plane from a mobile device or computer

## Criterion for Success

1. Design and complete the UAV model including wings, fuselage, and tail section

2. The UAV can fly normally in the air and realize the control of the UAV, including manual and automatic control

3. To realize the data monitoring of UAV in flight, including location, speed and altitude

## Distribution of Work

**Zhibo Teng:** Aircraft Structure and Design

**Yihui Li:** Aircraft Structure and Design

**Ziyang An:** Flight Control System Power and Propulsion

**Zhanhao He:** Flight Control System Communication and Telemetry