Project

# Title Team Members TA Documents Sponsor
34 LabEscape Ultrasonic Directional Speaker
Arthur Zaro
Piotr Nowobilski
Sam Royer
Mingrui Liu design_document1.pdf
final_paper1.pdf
other1.pdf
photo1.jpg
photo2.png
presentation1.pdf
proposal1.pdf
video
LabEscape Escape Room
# LabEscape Ultrasonic Directional Speaker

Team Members:
- Piotr Nowobilski (piotrn2)
- Sam Royer (sroyer2)
- Arthur Zaro (azaro3)

# Problem

Working with Professor Kwiat for the LabEscape escape room, we want to make an audio-based clue using ultrasonic waves to hide a narrow beam of audio that can only be heard at the intersection of two ultrasonic waves. We need to create the ultrasonic transducer array to emit the ultrasonic waves as well as the drivers to feed into the transducer and produce the necessary waves.

# Solution

We will make 2 separate subcircuit drivers to drive the ultrasonic waves. One will be a standard 40kHz wave as a reference wave, and the other will be a carrier wave using Amplitude Modulation at 40kHz to encode an audible audio signal at 40kHz. The intensity of the 40kHz wave will delinearize the air the sound is in, allowing the air to demodulate the carrier wave with the reference 40kHz wave, causing the initial audio to be heard only at the intersection of the 2 waves. For the transducer we will simply wire many individual ultrasonic transducers in parallel with one array being connected to a 40kHz sine wave, and the other connected to the 40kHz carrier wave.

# Solution Components

## Digital-to-analog Converter

We need to store an audio clip digitally to have the same clue play over and over throughout the escape room experience so that the clue may be discovered upon the intersection of the “audio spotlights”. To convert this digitally stored signal to a usable signal in the speakers, we need to convert the digital signal to an analog signal. The ideal resolution would be 16 bits for high quality audio as we want to minimize the distortion caused by conversion. This will be done through a DAC IC. It seems like a serial load DAC might be best as they have internal 16 bit shift registers, and if I sample my audio at 22050Hz, I can have good resolution if I load at 22050 * 16 Hz, and then move to output the signal.
Components:
DAC8811 - 16 bit serial Digital to Analog converter.
Audacity audio software to record and encode 16 bit audio

## Modulating subcircuit

We need to convert the new analog signal into a 40kHz signal using Amplitude Modulation so that the carrier wave and reference wave are at the same base frequency, and upon their crossing with enough power, the signal will demodulate in the air. We are thinking about implementing this using a digital potentiometer(s) using one of the many standard amplitude modulation circuit designs one can find online, and tuning it very specifically with those digital potentiometers based on tolerances of the resistors and capacitors used in this circuit.
Components:
Digital Potentiometer - MCP4141.

## Signal Amplifier Circuit

After we modulate the signal, as well as for the standard 40kHz wave, we need to amplify the signal so that the signal is large enough to be powerful enough to delinearize the air for the audio signal to be demodulated at the cross section of the audio beams.
Components:
LM3886 (high power audio amplifier, only issue is it doesn’t have as much gain as possible at higher frequencies (40kHz), so we may decide to swap this out).

## Filtering Subcircuit

A filter subcircuit may be necessary in order to reduce the noise before amplification. Given that most speaking frequencies are below 6kHz at an absolute high end and below 80Hz at an absolute low, this will likely be a band-pass filter to cut out the absolute highs and lows from harmonics and miscellaneous noise from conversion. Initially we will just try a simple first order low pass filter and high pass filter in series, which would only require a capacitor and a potentiometer to tune it. If that doesn’t do enough attenuation, I’ve found some online examples of higher order filters that will give us higher attenuation and would require a few additional resistors, capacitors, and an op amp.
Components:
Digital Potentiometer MCP4141 for tuning filtering circuit.
Capacitors for filtering circuit.
Resistor for filtering circuit.
Op Amp (tbd if needed).

## Transducer Array

To actually emit the ultrasonic waves, we will need an ultrasonic speaker array to emit both the reference and carrier waves. To do this we will buy several small individual ultrasonic speakers and attach them in parallel to have them all simultaneously emit the desired frequency.
Components:
25+ small ultrasonic transducers (Can buy in bulk)

## Additional Component(s)
Stepper motor and motor drivers for panning the speaker to align.
Flashlight mounted to transducer array to make it clear the alignment of each speaker

# Criterion for Success

- Audio and pressure from ultrasonic waves is very narrow and intersection between the two ultrasonic “spotlights” requires precision. This beam should be consistent with the attached flashlights.
- Audio is only heard at the intersection of the two waves and not too loud or too quiet.
- Audio is of clear enough quality that a clue can easily be presented through the transducers.
- Transducers and drivers are capable of being run for a long period of time while players try to uncover the clue associated with it.

Decentralized Systems for Ground & Arial Vehicles (DSGAV)

Mingda Ma, Alvin Sun, Jialiang Zhang

Featured Project

# Team Members

* Yixiao Sun (yixiaos3)

* Mingda Ma (mingdam2)

* Jialiang Zhang (jz23)

# Problem Statement

Autonomous delivery over drone networks has become one of the new trends which can save a tremendous amount of labor. However, it is very difficult to scale things up due to the inefficiency of multi-rotors collaboration especially when they are carrying payload. In order to actually have it deployed in big cities, we could take advantage of the large ground vehicle network which already exists with rideshare companies like Uber and Lyft. The roof of an automobile has plenty of spaces to hold regular size packages with magnets, and the drone network can then optimize for flight time and efficiency while factoring in ground vehicle plans. While dramatically increasing delivery coverage and efficiency, such strategy raises a challenging problem of drone docking onto moving ground vehicles.

# Solution

We aim at tackling a particular component of this project given the scope and time limitation. We will implement a decentralized multi-agent control system that involves synchronizing a ground vehicle and a drone when in close proximity. Assumptions such as knowledge of vehicle states will be made, as this project is aiming towards a proof of concepts of a core challenge to this project. However, as we progress, we aim at lifting as many of those assumptions as possible. The infrastructure of the lab, drone and ground vehicle will be provided by our kind sponsor Professor Naira Hovakimyan. When the drone approaches the target and starts to have visuals on the ground vehicle, it will automatically send a docking request through an RF module. The RF receiver on the vehicle will then automatically turn on its assistant devices such as specific LED light patterns which aids motion synchronization between ground and areo vehicles. The ground vehicle will also periodically send out locally planned paths to the drone for it to predict the ground vehicle’s trajectory a couple of seconds into the future. This prediction can help the drone to stay within close proximity to the ground vehicle by optimizing with a reference trajectory.

### The hardware components include:

Provided by Research Platforms

* A drone

* A ground vehicle

* A camera

Developed by our team

* An LED based docking indicator

* RF communication modules (xbee)

* Onboard compute and communication microprocessor (STM32F4)

* Standalone power source for RF module and processor

# Required Circuit Design

We will integrate the power source, RF communication module and the LED tracking assistant together with our microcontroller within our PCB. The circuit will also automatically trigger the tracking assistant to facilitate its further operations. This special circuit is designed particularly to demonstrate the ability for the drone to precisely track and dock onto the ground vehicle.

# Criterion for Success -- Stages

1. When the ground vehicle is moving slowly in a straight line, the drone can autonomously take off from an arbitrary location and end up following it within close proximity.

2. Drones remains in close proximity when the ground vehicle is slowly turning (or navigating arbitrarily in slow speed)

3. Drone can dock autonomously onto the ground vehicle that is moving slowly in straight line

4. Drone can dock autonomously onto the ground vehicle that is slowly turning

5. Increase the speed of the ground vehicle and successfully perform tracking and / or docking

6. Drone can pick up packages while flying synchronously to the ground vehicle

We consider project completion on stage 3. The stages after that are considered advanced features depending on actual progress.

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