Project

# Title Team Members TA Documents Sponsor
8 Dodgeball bot
 Chengyuan Fang
Haoxiang Tian
Yujie Pan
Yuxuan Xia
 design_document1.pdf
final_paper3.pdf
final_paper1.pdf
final_paper2.pdf
proposal1.pdf
 Timothy Lee
# Request for Approval: Senior Project – "Dodgeball Bots"

**Team members:**
Haoxiang Tian [ht13]
Yujie Pan [yujiep2]
Chengyuan Fang [cfang14]
Yuxuan Xia [yuxuanx9]

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## 1. Problem
Dodgeball is a high-energy sport that demands agility, strategy, and precision. However, traditional gameplay is limited by:
- Human physicality and inconsistent skill levels
- Safety concerns when targeting opponents at varying distances
- Lack of adaptive training scenarios with consistent accuracy
- Existing automated systems' inability to combine real-time tracking, variable launch power, and rotational targeting in fixed-body designs

This project addresses the challenge of creating a **safe, adaptive, and highly accurate dodgeball launching robot**.

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## 2. Solution Overview
A fixed-body dodgeball bot with:
- **Human-tracking sensors** (computer vision + depth sensor)
- **Adjustable-power launching mechanism** (rubber wheels/pneumatic pistons)
- **Precision rotation system** (motorized turret with feedback control)
Key capabilities:
- Real-time torso detection and tracking
- Dynamic target locking
- Controlled velocity propulsion (10–20m range)

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## 3. Components

### Aim
- **Human Tracking**: Live camera identifies humans and predicts movement. Depth sensors calculate distance (10m–20m).
- **Target Lock**: Software dynamically adjusts aim as targets move.

### Rotate
- **Turret Mechanism**: Stepper motor/hightorque servo rotates launcher (0–120° in <2 seconds) with stationary base.
- **Feedback Control**: Encoders ensure angular precision (±5° error tolerance).

### Power
- **Launch Mechanism**: Rubber wheels/pneumatic pistons propel balls. Wheel speed/pressure calibrated for 10–20m range.
- **Adjustable Speed**: Motor driver/PID controller modulates power based on distance.

### Control
- **Central Controller**: Manages start/stop functions and system coordination.

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## 4. Criteria of Success
The ideal dodgeball bot will achieve:

- **Accuracy**: 100% torso hit rate on stationary human-sized targets at 10–20m
- **Speed**: Adjustable launch velocity of 60–80 km/h
- **Responsiveness**:
- 120° rotation within 1 second
- Target tracking/relocking in <0.5 seconds
- **Safety**: Compliance with injury-prevention force limits
- **Durability**:
- 100+ consecutive launches without failure
- Total lifecycle exceeding 1000 launches

A crowd-sourcing urban air quality monitoring system with bikes

Kaiwen Hong, Zhengxin Jiang, Haofan Lu, Haoqiang Zhu

Featured Project

**Problem**

For public bike users, someone may concern about the air quality in which they are currently riding, as well as the places they are going to. However, currently there is no such an air quality monitoring system which provides air quality information in specific areas inside a city such as Haining.

**Solution Overview**

The idea is to apply air quality monitoring devices on the public bike system. The public bike system in Haining is a perfect carrier for IoT (Internet of Things) devices and urban sensing since it has a large and stable user group and all bikes are managed by official organization which means unified modification on all bikes can be done. A monitoring device integrated on the bike can provide the real-time information that users want to know and share data with other users through a cloud server. A real-time air quality map can be created for users with the contribution from all running bikes.

**Solution Components**

Subsystem 1 – on-bike air quality monitoring device. The subsystem is a stm32 microcontroller based design, integrated with air contaminant sensor, speed meter and data transmission modules. Once connected to a smartphone, the subsystem will keep transmitting real-time data to the smartphone.

Subsystem 2 – Software include a user interface and a server. The user interface can be either an app or a website on smartphone. The user interface receives sensor data from the hardware subsystem, displays the real-time statistics, uploads sensor data to server and receives the air quality map from server. The server processes data from all running bikes, creates a real-time air quality map and returns it back to users.

**Criterion for Success**

1. Success of data collection: stable real-time statistic display on user interface, stable data collection on server.

2. Air quality visualization: The air quality map correctly reflects the air quality in Haining city. For example, the concentration of air contamination should be higher in heavy traffic than in intl campus.

3. Speed control: The on-bike device or smartphone should give an alert when the monitored speed exceeds the upper limit or the user set range. This is not the core function of our design, but we add it as we think the function makes sense for safety purpose.