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.

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