Sponsors

Cypress Semiconductor Corporation

Sponsored Projects

  • Automatic Toothpaste Dispenser (Spring 2019)
  • Automatic Toothpaste Dispenser (Spring 2019)
  • Smart Electric Toothpaste Dispenser (Spring 2019)
  • Smart Electric Toothpaste Dispenser (Spring 2019)

Illinois Robotics in Space

Illinois Robotics in Space (IRIS) is an RSO at the University of Illinois at Urbana-Champaign. Every year IRIS competes in the NASA Robotic Mining Competition at Kennedy Space Center, works on smaller robotics-related projects and teaches younger students at local schools about what IRIS does.

Sponsored Projects

  • IRIS Localization System (Spring 2015)
  • IRIS Localization System (Spring 2015)

Illinois Tool Works Inc.

Sponsored Projects

  • Weld Gun Spatial Tracking System (Spring 2019)
  • Weld Gun Spatial Tracking System (Spring 2019)

Micron

Sponsored Projects

  • Soccer Team Gameplay Metrics (Spring 2019)
  • Soccer Team Gameplay Metrics (Spring 2019)
  • Traffic Sensing Bicycle Light (Spring 2019)
  • Traffic Sensing Bicycle Light (Spring 2019)

Siebel Center for Design

Sponsored Projects

  • Reconnaissance robot (SCD pitch) (Spring 2019)
  • Reconnaissance robot (SCD pitch) (Spring 2019)

Illini Solar Car

Sponsor

While Illini Solar Car started as a handful of engineering students in 2014, it takes more than that to create a solar car. Today we have grown into a much larger operation harnessing the skills of students from four colleges at Illinois to create one beautiful product.

Sponsored Projects

  • CUSTOM MPPTS FOR ILLINI SOLAR CAR (Spring 2024)
  • Active Cell Balancing for Solar Vehicle Battery Pack (Spring 2021)
  • Modules for Safe Power Distribution in an Electric Vehicle (Spring 2019)
  • Modules for Safe Power Distribution in an Electric Vehicle (Spring 2019)
  • Standalone Steering Wheel for Solar Racing Vehicle (Spring 2019)
  • Standalone Steering Wheel for Solar Racing Vehicle (Spring 2019)
  • Integrated Li-ion Battery Sensors (Fall 2018)
  • Integrated Li-ion Battery Sensors (Fall 2018)

LASSI

Sponsor

Laboratory for Advanced Space Systems at Illinois

Sponsored Projects

  • Power Board for Illini-Sat3 (Spring 2019)
  • Power Board for Illini-Sat3 (Spring 2019)

Lextech

Sponsor

Northrop Grumman Corporation

Sponsor

Northrop Grumman Corporation has provided funding for laboratory equipment and supplies in the area of applied electromagnetics, as well as support for the following groups.

Sponsored Projects

  • Filtered Back – Projection Optical Demonstration (Fall 2014)
  • Filtered Back – Projection Optical Demonstration (Fall 2014)
  • Wearable UV Radiation Sensing Device (Fall 2014)
  • Wearable UV Radiation Sensing Device (Fall 2014)
  • Radio Jammer (Fall 2005)
  • Radio Jammer (Fall 2005)

Advance Devices

Supporter

ARM

Supporter

Boeing

Supporter

Intel

Supporter

Raytheon

Supporter

Rockwell Collins

Supporter

Rockwell Collins has provided funding for laboratory equipment and supplies in the area of applied electromagnetics. A number of RF student projects have directly benefited from these improvements to the laboratory.

Sponsored Projects

  • Quadcopter - Sense and Avoid - Revised RFA (Fall 2014)
  • Quadcopter - Sense and Avoid - Revised RFA (Fall 2014)
  • Continuous-frequency Synthesizer (Spring 2005)
  • Continuous-frequency Synthesizer (Spring 2005)
  • football position tracker (Spring 2005)
  • football position tracker (Spring 2005)
  • Point-to-Point RF Communication for Wildlife Project (Spring 2005)
  • Point-to-Point RF Communication for Wildlife Project (Spring 2005)
  • RFID-based parking meter system (Spring 2005)
  • RFID-based parking meter system (Spring 2005)
  • Smart Inventory Management System (SIMS) Using RFID (Spring 2005)
  • Smart Inventory Management System (SIMS) Using RFID (Spring 2005)
  • Wireless Laptop Alarm (Spring 2005)
  • Wireless Laptop Alarm (Spring 2005)
  • Car rooftop antenna (Fall 2004)
  • Car rooftop antenna (Fall 2004)
  • Portable Wireless Locator System (Fall 2004)
  • Portable Wireless Locator System (Fall 2004)
  • Transmission line modeling in SPICE (Fall 2004)
  • Transmission line modeling in SPICE (Fall 2004)
  • Wireless Heart Attack Detector with GPS (Fall 2004)
  • Wireless Heart Attack Detector with GPS (Fall 2004)
  • Wireless switch of household appliances for handicapped (Fall 2004)
  • Wireless switch of household appliances for handicapped (Fall 2004)

Skot Wiedmann

Supporter

Sponsored Projects

  • Interactive Proximity Donor Wall Illumination (Fall 2018)
  • Interactive Proximity Donor Wall Illumination (Fall 2018)
  • Modular Analog Synthesizer (Fall 2017)
  • Modular Analog Synthesizer (Fall 2017)
  • AUDIO - ANALOG/DIGITAL SYNTHESIZER - ANALOG VOLTAGE CONTROLLED OSCILLATOR TO DIGITALLY CONTROLLED STEP-SEQUENCER (Spring 2017)
  • AUDIO - ANALOG/DIGITAL SYNTHESIZER - ANALOG VOLTAGE CONTROLLED OSCILLATOR TO DIGITALLY CONTROLLED STEP-SEQUENCER (Spring 2017)

TAKE Solutions

Supporter

Funded Project 39 (smart door) Spring 2015

Texas Instruments

Supporter

Texas Instruments has donated laboratory equipment for DSP and RFID based projects. A number of student projects have directly benefited from these improvements to the laboratory.

Sponsored Projects

  • Miner Tracking Devices (Spring 2006)
  • Miner Tracking Devices (Spring 2006)
  • Quantum Cryptography Project 1 (Spring 2006)
  • Quantum Cryptography Project 1 (Spring 2006)

Xilinx

Supporter

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.

Project Videos