Project

# Title Team Members TA Documents Sponsor
18 Wireless Fast Charging Autonomous Car
Yiquan Jin
Yizhi Li
Ziyue Guo
Zongyang Zhu
design_document1.pdf
final_paper1.pdf
final_paper3.pdf
proposal1.pdf
Chushan Li
# Problem

An autonomous car with wireless fast charging capability (Pin≥100W) is proposed. The car can automatically detect the place of wireless charging station and drive to the station with fast speed.

# Solution Overview

- An autonomous car with energy storage and fast speed

- The wireless charging power Pin ≥ 100W

- Car can automatically align to the charging coils

- Car can detect the place of wireless charging station.

- Obstacles can be avoided during the driving

- Car can fully utilize its mechanical structure and shock absorption system to work on various road condition

# Solution Components

## Hardware Components:

- Autonomous Driving Car Prototype: Developed a prototype of an autonomous driving car capable of autonomous navigation and driving functions, including sensors, control units, actuators, and designed the car's exterior and shock absorption structure.

- Wireless Charging System: Designed and implemented a wireless charging system capable of delivering over 100W of power, including hardware devices for the charger and car receiver end.

- Positioning and Navigation Equipment: Integrated high-precision positioning and navigation equipment to enable the car to navigate and plan routes in complex environments.

## Software Components:

- Autonomous Driving Software: Developed a comprehensive autonomous driving software system, including environment perception, path planning, control algorithms, etc., capable of achieving safe and stable autonomous driving functions.

- Charging Alignment Algorithm: Implemented precise charging alignment algorithms, capable of accurately identifying the position of charging stations and automatically aligning the car with the charging coils, ensuring charging efficiency and safety.

- Obstacle Detection and Avoidance Algorithms: Developed efficient obstacle detection and avoidance algorithms, capable of timely identifying obstacles on the road and taking appropriate measures to avoid collisions.

- Charging Station Position Detection Software: Implemented charging station position detection software, capable of accurately identifying the position of charging stations and planning the optimal route to reach the charging station.

# Criterion for Success

Our ultimate goal is to develop an autonomous vehicle with energy storage and high-speed capabilities, equipped with wireless fast charging (Pin ≥ 100W). It should automatically align with charging coils, detect the location of wireless charging stations, navigate around obstacles during driving, and fully utilize its mechanical structure and shock absorption system to adapt to various road conditions.

Robot for Gym Exercise Guidance

Zifei Han, Dalei Jiang, Kunle Li, Chang Liu

Featured Project

TEAM MEMBERS

Dalei Jiang (daleij2)

Zifei Han (zifeih2)

Chang Liu (changl12)

Kunle Li (kunleli2)

PROJECT TITLE

Robot for Gym Exercise Guidance

PROBLEM

In modern society, daily fitness is a necessary life choice for healthy people. When it comes to fitness, the standard of movement is very important. However, hiring a coach exclusively for instruction is sometimes not a convenient and economical option. We think robots are perfectly capable of determining whether a person's movements are in place. To this end, we need to propose a scheme to design a robot that can walk behind people and use certain technologies to identify human movements when people are moving, compare with the existing action models, and give an evaluation.

SOLUTION OVERVIEW

Our solution is to design a robot that included a chassis that drove the motion on the bottom and a computer operating system and camera on the top. With ultrasonic radar and cameras, the robot can follow the target. When the "motion assessment" module starts to operate, the camera will capture video information and begin motion analysis at the same time. The analysis of human motion will be completed as soon as possible and the standard evaluation of motion will be given. At the same time, we will design some multimedia files, such as sound and video, to interact with the user.

SOLUTION COMPONENTS

Based on the introduction above, several systems need to be implemented to realize the solution.

SUBSYSTEM 1: BOTTOM MOBILE PLATFORM PROGRAMMING

We plan to take use of the EAI SMART robot platform as the base movement platform of the robot. We will do the programming based on the ROS system to realize automatic navigation, path planning, and object tracking.

SUBSYSTEM 2: SKELETAL BINDING AND MOVEMENT ANALYSIS OF THE HUMAN BODY

The most important part of this program is that we will use the Mask R-CNN to do the skeletal binding to determine the human's movement. We will try to train an efficient model to help us realize fast analysis.

SUBSYSTEM 3: MAN-MACHINE INTERACTIVE SYSTEM

As a user-oriented product, we need to design a friendly human-computer interface to realize the free conversion of functions.

SUBSYSTEM 4: MOVEMENT STANDARD ALGORITHM

We need to devise an algorithm to assess the deviation between the gymnast's movements and the standard. This algorithm is very important for the final product performance feedback.

CRITERION FOR SUCCESS

The robot can self-navigate to find people in the gym.

The robot can monitor the person doing exercise and extract human poses.

The robot can check whether the person is doing correctly in the exercise.

DISTRIBUTION OF WORK

Dalei Jiang: Skeletal binding and movement analysis of the human body

Zifei Han: Bottom mobile platform programming

Chang Liu: Man-machine interactive system building

Kunle Li: Movement standard algorithm designing