Project

# Title Team Members TA Documents Sponsor
36 intelligent robot arm
Chenghan Li
Haoran Yang
Yiming Li
Yipu Liao
 design_document2.pdf
final_paper2.pdf
proposal4.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.

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Description: We will build a drum add-on that will tutor people how to play the drums. We will make a panel for visual queue of the drum and beats in a form similar to guitar hero game. The panel can be a N*10 (N varying with the drum kit) led bar array. Each horizontal bar will be a beat and each horizontal line above the bottom line will represent the upcoming beats.

There will be sensors on each drum that will fire when the drum heads is hit. The drums will be affixed with ring of light that provides the timing and accuracy of the player according to the sensors.

Of course with a flip of a switch, the drum could be a simple light up drum: when the player hits the drum, that particular drum will light up giving cool effects.

The system will be on a microprocessor. Or for more versatile uses, it could be connected to the computer. And a app will be written for the tutor.