Project

# Title Team Members TA Documents Sponsor
12 4-Wheel-Drive Invertible Ant-Weight Battlebot
Haoru Li
Ziheng Qi
Ziyi Wang
Zhuoer Zhang design_document1.pdf
final_paper1.pdf
presentation1.pptx
proposal1.pdf
video
# Ant Weight Battlebot
Team Members:
- Ziyi Wang (zw67)
- Ziheng Qi (zihengq2)
- Haoru Li (haorul2)

# Problem

For ant-weight battlebots, 3D-printed materials introduce significant vulnerabilities. Though many robots can effectively defend strikes, they are prone to "turtling" and may lose mobility when flipped. Under the competition rule, losing mobility will quickly lead to knockout. When inverted, weapon systems such as vertical spinners may rotate in an ineffective direction or lose engagement with the opponent entirely, significantly reducing combat effectiveness. Preserving weapon functionality in both orientations remains a critical challenge for ant-weight combat robots. In addition, sudden high-impact collisions can introduce transient power spikes and voltage fluctuations in the power distribution system, which may disrupt onboard electronics, or cause overall system instability during operation.

# Solution

We want to design a invertible 4-Wheel-Drive battlebot with vertical drum spinner. According to our investigation, vertical drum spinner is an ideal weapon choice as it is rigid and can effectively flip opponents. To solve the problem of "turtling," the robot uses a symmetric chassis with wheel diameters exceeding the total chassis height, ensuring traction regardless of orientation. And bigger wheels also allow the battlebot to function even after flipped and the vertical rollercan change its direction as well. To address the cognitive load of inverted driving, we integrate an onboard IMU that automatically detects a flip and remaps the motor control logic in the firmware, making the transition seamless for the operator.
To ensure electrical stability and prevent brownouts, the custom PCB utilizes a decoupled power architecture. We isolate the high-current weapon system from the sensitive logic rails using a high-efficiency switching regulator and a large bulk capacitor array. The robot is divided into three primary subsystems: Power Management, Control & Sensing, and Drive & Weapon Actuation.

# Solution Components

## Subsystem 1: Power Management and Distribution
Provides stable, isolated power delivery to all robot subsystems while meeting the 24V maximum battery voltage requirement. Detail specifications awaits to be put on based on selection of motors.

## Subsystem 2: Control and Communication
Function: Receives operator commands, processes IMU orientation data, and generates appropriate motor control signals with automatic inversion compensation.

*Components:*

* Microcontroller: ESP32-WROOM-32D module with integrated WiFi/Bluetooth
* Part: Espressif ESP32-WROOM-32D
* IMU Sensor: 6-axis accelerometer and gyroscope module
* Part: InvenSense MPU-6050 (GY-521 breakout module)
* Interface: I2C communication at 400kHz

Firmware Logic:

Continuously poll IMU at 100Hz to determine Z-axis orientation
If Z-acceleration indicates inversion (threshold: -8 m/s² to -10 m/s²), apply 180° phase shift to drive motor PWM signals fit the pose change.
Maintain weapon control polarity regardless of orientation
Implement exponential response curve on drive inputs for fine control

## Subsystem 3: Drive Train
Provides four-wheel independent drive with sufficient torque for pushing and maneuverability.

Components:
* 4 Drive Motors with expected weight of ~10g each

## Subsystem 4: Weapon System
Vertical drum spinner delivering kinetic energy impacts to destabilize and damage opponents.

Performance Targets:

Weapon tip speed: 150-200 mph (conservative for material constraints)
Spin-up time: <3 seconds to operating speed
Subsystem

## Sybsystem 5: Chassis and Structure
Provides impact-resistant housing for all components while maintaining invertible geometry and meeting weight requirements.


# Criterion For Success

1. The total weight of the battlebot should always remain below 2 lb. And the robot should execute a complete motor shutdown within 2 seconds once triggered by software or hardware switch.

2. Logic systems (ESP32, IMU) must maintain operation during weapon spin-up and simulated impact loads. And communication should stay on.

3. The robot can work as expected: move according to PC inputs and do not need manual adjustment; weapon spinning vertically; shutdown in time according to PC commands; self-adaptive when flipped (mobility and weapon functionality)

4. The chassis and mounting structures must withstand repeated weapon engagement and collisions without structural failure.

Backpack Buddy - Wearable Proximity/Incident Detection for Nighttime Safety

Jeric Cuasay, Emily Grob, Rahul Kajjam

Backpack Buddy - Wearable Proximity/Incident Detection for Nighttime Safety

Featured Project

# Backpack Buddy

Team Members:

- Student 1 (cuasay2)

- Student 2 (rkajjam2)

- Student 3 (eegrob2)

# Problem

The UIUC campus is relatively a safe place. We have emergency buttons throughout campus and security personnel available regularly. However, crime still occurs and affects students walking alone, especially at night. Staying up late at night working in a classroom or other building can lead to a long scary walk home. Especially when the weather is colder, the streets are generally less populated and walking home at night can feel more dangerous due to the isolation.

# Solution

A wearable system that uses night vision camera sensor and machine learning/intelligence image processing techniques to detect pedestrians approaching the user at an abnormal speed or angle that may be out of sight. The system would vibrate to alert them to look around and check their surroundings.

# Solution Components

## Subsystem 1 - Processing

Processing

Broadcom BCM2711 SoC with a 64-bit quad-core ARM Cortex-A72 processor or potentially an internal microprocessor such as the LPC15xx series for image processing and voltage step-down to various sensors and actuators

## Subsystem 2 - Power

Power

Converts external battery power to required voltage demands of on-system chips

## Subsystem 3 - Sensors

Sensors

Camera - Night Vision Camera Adjustable-Focus Module 5MP OV5647 to detect objects in the dark

Proximity sensor - detects obstacle distance before turning camera on, potentially ultrasonic or passive infrared sensors such as the HC-SR04

Haptic feedback - Vibrating Mini Motor Disc [ADA1201] to alert user something was identified

# Criterion For Success

The Backpack Buddy will provide an image based solution for identifying any imposing figure within the user's blind spots to help ensure the safety of our user. Our solution is unique as there currently no wearable visual monitoring solutions for night-time safety.

potential stuff:

Potentially: GNSS for location tracking, light sensor for outdoors identification, and heartbeat for user stress levels

camera stabilization

heat camera

Project Videos