Project

# Title Team Members TA Documents Sponsor
54 E-PEEL: Electronic Peeling Equipment for Easier Living
Hyun Jun Paik
Saathveek Gowrishankar
Varun Ramprakash
Manvi Jha design_document1.jpeg
design_document2.pdf
final_paper1.pdf
proposal1.pdf
proposal2.pdf
video
Team Members:
- Saathveek Gowrishankar (sg59)
- Varun Ramprakash (varunr6)
- Hyun Jun Paik (hpaik2)

# Problem

Traditional peelers require grip strength and fine motor control to properly and safely operate. Older adults and other individuals with limited fine motor control, arthritis, tremors, or reduced grip strength often find peeling fruits/vegetables difficult and unsafe. Meal preparation is widely classified as an instrumental activity of daily living (IADL), and the inability to consistently prepare meals can diminish one's independence and quality of life.

Several recent papers highlight the lack of availability for assistive technologies for kitchen-related tasks. One paper (MORPHeus: a Multimodal One-armed Robot-assisted Peeling System with Human Users In-the-loop) even explores a fully autonomous robotic arm that peels vegetables with no human intervention. This solution, however, would be expensive, large, and unrealistic for home kitchens. Additionally, several studies highlight that older adults are less likely to use fully automated solutions and instead prefer semi-autonomous assistive technology that they can reasonably control.

# Solution

We propose a semi-autonomous peeling assist robot that can solve many of the aforementioned challenges while avoiding many of the disadvantages of existing proposed solutions. Our proposed solution consists of two primary mechanisms: a motorized conveyor belt and an actively compliant lever arm. Users place a vegetable on the conveyor belt which can then move the vegetable underneath and across a peeler; the conveyor belt is controlled by three buttons: one for each direction and one to stop. The actively compliant lever arm is fitted with a pressure sensor, a vibration motor, and a vegetable peeler; this allows the peeler’s position to adapt to variations in vegetable shape and position while maintaining a consistent depth of peeling. To ensure continuous and reliable power without runtime limitations, the device will be designed to operate on AC power using an external low-voltage DC adapter. To ensure ease of use, all food-contact components will be removable without tools and easily cleaned. The peeler will be held in place on two rails with a plastic swivel lock at one end, and the plastic conveyor belt will have a removable food-safe silicone/TPU outer layer that clips on; this allows the peeler and conveyor belt cover to be secure when in use but also effortlessly removed for cleaning. LEDs will be included to signal the state of the device (on/off) and the state of the conveyor belt (forward, reverse, paused).

# Solution Components

## Subsystem 1: Conveyor Belt

This subsystem controls the movement of the vegetable with constant speed, pulling it underneath the peeler blade. The vegetable is peeled lengthwise. Cylindrical vegetables (e.g., zucchini or carrots) are placed on the conveyor belt with their long axis parallel to the belt direction. As the belt moves forward, the vegetable is drawn longitudinally across the blade, allowing the blade to remove peel along the length of the vegetable surface. A single motor rotates the conveyor by rotating the drive roller through a sprocket and chain transmission. The belt is constructed from plastic and covered by a layer of food-grade silicone. The silicone layer attaches to the plastic belt and can be easily attached and removed for cleaning.

- 12V Stepper Motor MEDIUM bipolar - ROB-09238
- Stepper Motor Driver – TB6600


## Subsystem 2: Blade Holder: Pressure Detector with Vibration Motor

This subsystem applies a controlled peeling force to the vegetable using a spring-loaded blade holder with motor-adjustable position, while simultaneously measuring the applied force using a load cell. A TAL220B straight-bar load cell measures the normal contact force applied by the blade. The load cell output is amplified and digitized by an HX711 load cell amplifier, allowing the microcontroller to read and record the applied force. The MG996R servo motor actively allows the blade to sense variations in the vegetable surface and adjust the motor accordingly in real time, maintaining continuous contact with the same force applied to the vegetable. To improve peeling, a mini vibration motor (Adafruit 1201) is mounted near the blade holder. The vibration helps the blade slide through the skin more smoothly without increasing applied force.

Control Loop: The MG996R servo will be updated at approximately 50 Hz based on load cell feedback.

Target Force Value: Initial target normal force is ~1–2 N, which is sufficient to peel typical vegetables like zucchini, carrot, and potato. We will experiment with these values to find the best-performing force.

Control Algorithm: We will use a threshold-based incremental adjustment: if the measured force is above the target range, the servo retracts slightly; if below, it advances. This approach is simpler than PID and sufficient for the semi-autonomous design.

Force Range Variation: Peeling force varies with vegetable type and skin toughness. Some papers indicate forces between 0.8 N and 2.5 N are generally effective for common cylindrical vegetables, but again, we'll have to test this.

- SparkFun Load Cell (5kg, Straight Bar) – TAL220B
- SparkFun Load Cell Amplifier – HX711
- Servo Motor – MG996R
- Adafruit Vibrating Mini Motor Disc – ID: 1201

## Subsystem 3: User Interface: Conveyor Direction Push Buttons

This subsystem provides a simple, reliable manual control interface to move the conveyor belt forward or reverse. The main purpose is jamming recovery. If a vegetable binds against the blade, the user can reverse the belt to free it from the contact, then resume forward motion. LEDs will be included which indicates the state of the conveyor belt direction. For safety, the peeler will only vibrate when the device is in the peel state, not in the pause or reverse state. Additionally, clicking any button (including reverse) during the peel state will stop the device, moving it into the pause state.
The user does not manually feed or hold the vegetable during operation. After placing the vegetable on the conveyor belt, the user steps back and initiates motion using a momentary button press. The blade remains stationary relative to the frame and is never directly contacted during normal operation. A physical blade guard will be added to prevent any direct access to the blade from above or the sides, reducing the risk of accidental contact.

- 4 LEDs
- 3 Buttons (Forward / Reverse / Pause)
- 1 Switch (Power On/Off)

## Subsystem 4: Power, Voltage, and Current Control

This subsystem converts standard AC wall power into low-voltage DC required to safely operate all motors, sensors, and microcontroller components. It ensures continuous, reliable power without runtime limitations and protects user-accessible components from any high voltage. It also ensures that the power provided to the circuit components does not exceed their maximum power requirements. A current sensor will additionally be used to prevent motor burnout during stalls.

- AC-to-DC Adapter: Mean Well GST60A24-P1J
- Current Sensor - ACS712

# Criteria For Success

The device has three states, and the following criteria reference these states.
- Pause State: The conveyor belt does not move, and the blade does not vibrate.
- Peel State: The conveyor belt moves forward, and the blade vibrates.
- Reverse State: The conveyor belt moves backward, and the blade does not vibrate.

1. The device enters the pause state when the on/off button is switched to on.
2. When the forwards peel button is pressed and the device is in the pause state, the conveyor belt enters the peel state.
3. If any button other than the forwards peel button is clicked during the peel state, the device immediately enters the pause state.
4. When the reverse button is pressed and the device is in the pause state, the conveyor belt enters the reverse state.
5. Once the conveyor belt starts moving forward, it does not stop unless the direction is changed, the conveyor is paused, or power is cut.
6. Once the peeler starts vibrating, it does not stop unless the direction is changed, the conveyor is paused, or power is cut.
7. The device thoroughly peels cylindrical vegetables, covering over 90% of their surface area. Upon achieving consistent success with partially cylindrical vegetables (e.g. zucchini), attempt to peel other varying shapes/sizes of fruits and vegetables.
8. The device minimizes the amount of usable produce being discarded. (This will be determined with qualitative determination from visual observations).
9. The device requires no more than 120 V of AC power to operate.

CHARM: CHeap Accessible Resilient Mesh for Remote Locations and Disaster Relief

Martin Michalski, Melissa Pai, Trevor Wong

Featured Project

# CHARM: CHeap Accessible Resilient Mesh for Remote Locations and Disaster Relief

Team Members:

- Martin Michalski (martinm6)

- Trevor Wong (txwong2)

- Melissa Pai (mepai2)

# Problem

There are many situations in which it is difficult to access communicative networks. In disaster areas, internet connectivity is critical for communication and organization of rescue efforts. In remote areas, a single internet connection point often does not cover an area large enough to be of practical use for institutions such as schools and large businesses.

# Solution

To solve these problems, we would like to create a set of meshing, cheap, lightweight, and self-contained wireless access points, deployable via drone. After being placed by drone or administrator, these access points form a WiFi network, usable by rescuers, survivors, and civilians. Our network will have QoS features to prioritize network traffic originating from rescuers. Having nodes/access points deployable by drone ensures we are able to establish timely connectivity in areas where search and rescue operations are still unable to reach.

Over the course of the semester, we will produce a couple of prototypes of these network nodes, with built in power management and environmental sensing. We aim to demonstrate our limited network’s mesh capabilities by setting up a mock network on one of the campus quads, and connecting at various locations.

# Solution Components

## Router and Wireless Access Point

Wireless Access for users and traffic routing will be the responsibility of an Omega2 board, with onboard Mediatek MT7688 CPU. For increased signal strength, the board will connect to a RP-SMA antenna via U.FL connector.

The Omega2 will be running OpenWRT, an Linux-based OS for routing devices. We will develop processes for the Omega2 to support our desired QoS features.

## Battery Management System

This module is responsible for charging the lithium-ion battery and ensuring battery health. Specifically, we will ensure the battery management system has the following features:

- Short circuit and overcurrent protection

- Over- and under-voltage protection

- An ADC to provide battery status data to the microcontroller

- 3.3v voltage regulation for the microcontroller and other sensors

In addition to miscellaneous capacitors and resistors, we intend to use the following components to implement the battery management system:

- The MT2492 step-down converter will be used to step down the output voltage of the battery to 3.3 volts. Between the GPS and extra power the microcontroller might consume with an upgraded Wifi antenna, low-dropout regulators would not provide sufficient power in an efficient manner. Instead, we will implement a 2 amp buck converter to improve efficiency and ensure there are no current bottlenecks.

- We will utilize two button-top protected 18650 3400 mAh lithium ion batteries in series to power each node. Placing two of these batteries in series will ensure their combined voltage never falls below the minimum voltage input of the buck converter, and accounting for the buck converter’s inefficiency these batteries should give us about 21 Wh of capacity. The cells we plan on using include a Ricoh R5478N101CD protection IC that provides over-voltage, under-voltage, and over-current protection. Using a standard battery form factor will make them easy to replace in the future as needed.

- A USB-C port with two pulldown resistors will provide 5 volt charging input with up to 3 amps of current, depending on the charger.

- The MT3608 step-up converter will boost the input voltage from the usb-c port and feed it into the charging controller.

- The MCP73844 Charge Management Controller will be used to charge the batteries. This controller supports CC/CV charging and a configurable current limit for safe and effective battery charging.

- The TI ADS1115 ADC will be used for battery voltage monitoring. This chip is used in the official Omega2 expansion board, so it should be easy to integrate in software. We will use a voltage divider to reduce the battery voltage to a range this chip can measure, and this chip will communicate over an I2C bus.

## Sensor Suite

Each node will have a battery voltage sensor and GPS sensor, providing the system with health information for each node. On top of the Wifi-connectivity, each module would have a series of sensors to detect the status of the physical node and helpful environment variables. This sensor suit will have the following features and components to implement it

- Ultimate GPS Module PA1616D will be used for positioning information. This chip utilizes 3.3V which is supplied through our battery management system.

Battery Voltage Monitor

- The TI ADS1115 ADC (mentioned in the BMS section) is for battery voltage monitoring. It interfaces via I2C to the Omega2.

## System Monitor

A system monitor which provides visibility of the overall system status for deployed network nodes. Information that we will show includes: last known location, battery health, and network statistics (e.g. packets per second) from the physical devices.

We plan on using React to provide an intuitive UI, using google-map-react and other React packages to create an interactive map showing the last known location and status of each node.

The backend will be hosted on a server in the cloud. Nodes will continually update the server with their status via POST requests.

# Criterion For Success

We aim to achieve the following performance metrics:

- 1.5 kg maximum mass

- Cover 7500 m^2 (North Quad) with 4 nodes

- Display the last known location, time connected, and battery voltage for all nodes via our system monitor

- 3 hour battery life

- 5 Mb/s WiFi available to laptops and smartphones in the coverage area

[*Link*](https://courses.engr.illinois.edu/ece445/pace/view-topic.asp?id=71252) *to assciated WebBoard discussion*