Project

# Title Team Members TA Documents Sponsor
12 ROBOTIC ARM INTEGRATED INTO WHEELCHAIR WITH MR INTERFACE
Xingru Lu
Yilin Wang
Yinuo Yang
Yunyi Lin
design_document1.pdf
final_paper1.pdf
final_paper2.pdf
final_paper3.pdf
proposal1.pdf
Liangjing Yang
#TEAM MEMBER
Yunyi Lin, yunyil3
Yinuo Yang, yinuoy4
Xingru Lu, xingrul2
Yilin Wang, yilin14

# PROBLEM

Wheelchair users often face significant challenges when interacting with objects beyond their immediate reach, particularly behind them. Without external assistance, tasks such as pressing buttons or navigating through environments with complicated surroundings can become difficult. These difficulties are compounded when operating independently, highlighting the need for supplementary support to simplify routine activities. Additionally, wheelchair users may struggle with limited situational awareness, as their field of view is primarily forward-facing. As a result, there is a pressing need for innovative solutions that enhance both accessibility and autonomy, enabling wheelchair users to interact more conveniently with their surroundings.

# SOLUTION OVERVIEW

Our solution integrates a rear-facing camera that streams real-time visuals to a Mixed Reality (MR) interface, allowing wheelchair users to gain visual awareness of their surroundings, including blind spots behind them. Additionally, a robotic arm mounted at the back of the wheelchair can be controlled through MR, enabling users to perform assistive actions such as pressing buttons and interacting with objects beyond their physical reach. This system enhances both situational awareness and independent mobility, providing a more intuitive and convenient way for users to navigate and interact with their environment.

# SOLUTION COMPONENT

## OPEN MANIPULATOR-P ROBOTIC ARM

The Open Manipulator-P robotic arm will be responsible for helping disabilities to extend their reachable area and assist them with tasks in their blind spots, such as pressing elevator buttons behind them.

## APPLE VISION PRO

Apple Vision Pro will be responsible for detecting user’s hand movements and giving feedback to the user. It provides a camera matrix consisting of eight depth cameras and RGB cameras. These cameras will be helpful in spatial computing and object detection.

## MIXED REALITY INTERFACE

The mixed reality interface will provide a live view from behind the wheelchair, allowing people with disabilities to see from their blind spots. The interface will also offer feedback when user tries to control the robotic arm, such as draggable buttons. These feedbacks ill enhance the interaction between user and robotic arm.

# CRITERIA FOR SUCCESS

- Precision: The robotic arm should reliably press buttons with a diameter of at least 35mm, which is a common size of elevator buttons. The force applied must be sufficient to activate buttons without excessive pressure that could cause damage or failure.
- Clear Vision Pro View: Users should be able to see both the front and rear environments through Vision Pro, while also adjusting the robotic arm’s perspective to gain a broader field of view.
- Safety and Stability: The system must ensure that wheelchair stability is not compromised during operation. Movements of the robotic arm should not cause the wheelchair to become unbalanced.
- Low Latency: The system should ensure smooth and intuitive control. The latency should be low enough that it does not disrupt normal usage or cause noticeable delays in operation.

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.