Project

# Title Team Members TA Documents Sponsor
7 Drone Delivery System for Takeaway Business
 Ximo Wang
Yanbing Yang
Yang Chen
Yuzheng Zhu
 design_document1.pdf
design_document2.pdf
final_paper1.pdf
final_paper2.pdf
final_paper3.pdf
proposal1.pdf
 Jiahuan Cui
**Team Member (NetId)**
- Ximo Wang (ximow2)
- Yanbing Yang (yanbing7)
- Yang Chen (yangc7)
- Yuzheng Zhu (yz83)

**Problem**
We are going to design and realize an airway delivery system with drone, container and cloud server. Delivery of light weight, medium range, fast response with a city is a strong demand especially during rush hour. Traditional airway delivery drones with GPS guiding are not precise enough for landing in limited space. Existing delivery drones on market requires the manual operation during picking and placing the goods.

**Solution Overview**
The basic parts of our solution are delivery drone and automatic containers. The drone can communicate with container to fetch the delivery information while picking up goods. An app connects the container, cloud server and costumer is designed as well.

**Solution Components (Also Distribution of Work)**
- Light Delivery Drone (Yanbing)
Design and manufacture a quadrotor UAV with special structure for transition between picking-up mode and shipping mode. The drone will realize the function of self-navigation, precise landing, automatic obstacle avoidance, RTK communication and cloud server connection.
- Navigation System with RTK (Ximo)
Real-Time Kinematics operates by augmenting the standard Global Navigation Satellite System positioning technique with real-time correction data. The device applies corrections to its own GNSS calculations, resulting in highly accurate positioning with centimeter-level precision. Using this method, our UAV can find the accurate position of container when landing.
- Automatic Container (Yuzheng)
The container needs to interface with the drone, responsible for automatically storing objects delivered to the landing pad by the drone into the container. It also handles transporting goods placed in the locker by the merchant to the landing pad for the drone to pick up and deliver.
- Communication System (Yang)
Our drone needs to communicate with both container and cloud. In this way, user can send delivery request and know the progress of the delivery, even the current location of the drone. The container would also know the status of the drone and resend message if possible.

**Criterion for Success**
Our solution can accurately deliver the requested good from one location to the destination without manual operations. The drone can pick up the package and deliver it to the destination independently. What the user needs to do is just put the package into the container and get their package from the container.

**Alternatives**
Foodpanda has piloted food deliveries in Singapore using multirotor drones from ST Engineering and in Pakistan using VTOL drones from Woot Tech. Flytrex has delivered over 55K orders by drone in three towns in North Carolina and Texas since 2022, including Starbucks coffee, Walmart, Chick-fil-A, Papa John's pizza and more.
Our solution differs from existing solutions since it’s more convenient and cheaper. The drone and the delivery container are integrated, with the container serving both as a storage unit and a landing pad. Both merchants and customers need only to concentrate on the order itself. Placing an order through the program is all that's required, as all decision-making, delivery, and interfacing are fully automated. We use low-cost standard components to reduce expenses.

Low Cost Myoelectric Prosthetic Hand

Featured Project

According to the WHO, 80% of amputees are in developing nations, and less than 3% of that 80% have access to rehabilitative care. In a study by Heidi Witteveen, “the lack of sensory feedback was indicated as one of the major factors of prosthesis abandonment.” A low cost myoelectric prosthetic hand interfaced with a sensory substitution system returns functionality, increases the availability to amputees, and provides users with sensory feedback.

We will work with Aadeel Akhtar to develop a new iteration of his open source, low cost, myoelectric prosthetic hand. The current revision uses eight EMG channels, with sensors placed on the residual limb. A microcontroller communicates with an ADC, runs a classifier to determine the user’s type of grip, and controls motors in the hand achieving desired grips at predetermined velocities.

As requested by Aadeel, the socket and hand will operate independently using separate microcontrollers and interface with each other, providing modularity and customizability. The microcontroller in the socket will interface with the ADC and run the grip classifier, which will be expanded so finger velocities correspond to the amplitude of the user’s muscle activity. The hand microcontroller controls the motors and receives grip and velocity commands. Contact reflexes will be added via pressure sensors in fingertips, adjusting grip strength and velocity. The hand microcontroller will interface with existing sensory substitution systems using the pressure sensors. A PCB with a custom motor controller will fit inside the palm of the hand, and interface with the hand microcontroller.