EECS

About Us
The UC Irvine ZotQuatics team works towards designing and manufacturing an Autonomous Underwater Vehicle (AUV) to compete in the annual RoboSub Competition hosted by RoboNation. Teams from around the world come together to test their AUVs through a series of underwater objectives and present their work through technical documentation. Our AUV will also have applications in environmental remediation.

Our ultimate goal for 2024-25 is to establish ZotQuatics as a permanent pillar of the UCI Engineering community. We will do this by designing and fabricating Mark I of the ZotQuatics AUV as a platform for future teams to build off on and evolve. The Mark I shall adhere to RoboSub regulations regarding functionality, performance, constraints, and design attributes we identify to meet these requirements.

ZotCart is a fully autonomous golf cart that will be roaming around Ring Road in the near future. This is achieved by designing drive, brake and steer by wire mechanisms to allow for autonomous control of the golf cart, with the ability for a human to take control in case of an emergency. Several sensors such as cameras, radars, and IMUs along with control algorithms will allow for autonomous driving around static obstacles.

Background:

Our multidisciplinary team is working to design and fabricate a semiconductor chip through the use of a cleanroom and the equipment within it. In addition to development, the team aims to create educational content on semiconductor manufacturing to share knowledge and promote understanding. By combining the expertise of multiple engineering fields, in mechanical, electrical, and computer, we are working together to understand the processes and theories behind devices smaller than a millimeter.

UAV Forge constitutes a multidisciplinary engineering design team with a specific focus on the comprehensive development cycle of autonomous aerial vehicles, encompassing design, manufacturing, programming, and rigorous testing. The paramount objective of this design endeavor is to adhere to the stipulated constraints, thereby enabling active participation in the SUAS 2024-2025 competition season.

Spanning several years, UCI Cargo Plane is a well-renowned project at the University of California, Irvine. This project provides a great opportunity for undergraduate and graduate students to learn the fundamentals of aircraft design, as it brings together the foundations of aerospace engineering and combines it with hands-on manufacturing experience. In our specific case, members of the UCI Cargo Plane team will learn how to design a plane that carries metal weights.

UAV Forge constitutes a multidisciplinary engineering design team with a specific focus on the comprehensive development cycle of autonomous aerial vehicles, encompassing design, manufacturing, programming, and rigorous testing. The paramount objective of this design endeavor is to adhere to the stipulated constraints, thereby enabling active participation in the SUAS 2023-2024 competition season.

The CubeSat team at UCI is a student-led undergraduate interdisciplinary research and design project with the goal of launching a 2U nanosatellite, AntSat 01, into orbit to test a UCI research payload. The satellite operates with six main engineering subsystems: Avionics, Communications, Structures, Power, Developer Operations, and Systems. They all work to house STMS's (Spacecraft Thermal Management Systems) research payload within the 2U nanosatellite.

Project Description: 

UAV Forge is a multidisciplinary engineering design team focusing on designing, manufacturing, programming, and testing autonomous aerial vehicles. The design aims to fulfill the constraints that allow the team to participate in the AUVSI SUAS 2023 competition season.

Background

“The SUAS competition is designed to foster interest in Unmanned Aerial Systems (UAS), stimulate interest in UAS technologies and careers, and to engage students in a challenging mission. The competition requires students to design, integrate, report on, and demonstrate a UAS capable of autonomous flight and navigation, remote sensing via onboard payload sensors, and execution of a specific set of tasks. The competition has been held annually since 2002.

In this project, we will be creating an autonomous cleaning robot that resembles the form of a Roomba. Upon completion, our cleaning robot will go through a challenging obstacle course where it will need to avoid obstacles while simultaneously vacuuming up dust and debris in the play field. Through this project, we are synthesisizing several disciplines of engineering including mechanical, robotics, electrical and computer engineering in order to accomplish our goal. 

BACKGROUND:

UCI CubeSat is a student-led effort to design, manufacture, and launch a 2U nanosatellite to conduct experiments on a UCI research payload called a variable emissivity device (VED).

These experiments aim to ascertain whether the VED will be viable for use as a cheap, reliable method of thermal management on future spacecraft. UCI's CubeSat, AntSat1, will relay data on performance in various degrees of solar exposure and at varying adjustable emissivity values while in orbit.

OBJECTIVES:

The objective of the FUSION Engineering Project is to design and create a functional autonomous vacuum cleaner. Each team must adhere to certain design specifications set by the Project Directors and will compete with each other at FUSIONCon in May 2023. Each team’s goal is to create a cost-effective robot while maintaining functionality.

Background:

The FUSION Autonomous Vaccum project aims to provide members with the opportunity to work with a diverse range of other engineering majors while aquiring hands-on experience with Arduinos and CAD modeling.Although we share the same objective as the other project teams within FUSION, we will differentiate ourselves with our unique design and approach to problem-solving in order to be a competitive oponent in the end-of-the-year competition. 

Goal and Objectives: 

UAV Forge is a multidisciplinary engineering design team that focuses on the design, manufacturing, programming and testing of autonomous aerial vehicles. The design aims to fulfill the constraints that allows the team to participate in the AUVSI SUAS 2021-2022 competition season. The AUVSI competition requires that the system’s UAV have autonomous flight capabilities, ability to perform object avoidance of stationary and dynamic objects, the ability to do object detection, localization, and classification. The system must also perform an airdrop task wherein UAV Forge will be manufacturing an assembly that will allow the UAV to drop payloads that safely land on designated targets. Though the emphasis for this year’s team is to perform well in the competition setting, the primary objective is to ensure the undergraduate students participating in the project apply their engineering skills to a compelling real-world problem.

The CubeSat team at UCI is a student-led effort to launch a 2U nanosatellite into orbit to test two UCI research payloads. The satellite operates with five subsystems (Power/Payload, Communications, Avionics, Structures/Thermal, and Systems Engineering), in addition to housing two payloads. 

BACKGROUND:

Background

Students that are a part of the UC Irvine Intelligent Ground Vehicle Team will design and test an autonomous ground vehicle that is able to navigate through an obstacle course. The technologies used in IGV encompass a wide range of applications in engineering including military mobility, intelligent transport systems, and manufacturing. 

Goals and Objectives 

UCI CubeSat is a student design team working on the design and construction of UCI's very first CubeSat satellite. Our mission is to deliver two research payloads to low earth orbit.

Background:

Background

Students that are a part of the UC Irvine Intelligent Ground Vehicle Team will design and test an autonomous ground vehicle that is able to navigate through an obstacle course. The technologies used in IGV encompass a wide range of applications in engineering including military mobility, intelligent transport systems, and manufacturing. 

Goals and Objectives 

The CanSat competition is a design-build-fly competition that provides teams with an opportunity to experience the design life-cycle of an aerospace system. The CanSat competition is designed to reflect a typical aerospace program on a small scale and includes all aspects of an aerospace program from the preliminary design review to post mission review. The mission and its requirements are designed to reflect various aspects of real world missions including telemetry requirements, communications, and autonomous operations. Each team is scored throughout the competition on real-world deliverables such as schedules, design review presentations, and demonstration flights.

This project hopes to explore renewable energy on a personal scale. The Power Blades team is working on developing a small scale wind turbine suitable for camping applications. The wind turbine will be compact enough to fit a hiking backpack and should be easily deployed and assembled. It will be able to reliably provide enough electricity overnight to charge common camping appliances(cell phones, flashlights, camera battery, ...). The project consists of 2 teams, mechanical and electrical, that will practice the design process in order to plan and design the manufacturing of the small scale wind turbine. The actual manufacturing of this product will not be conducted.

UAV Forge is a multidisciplinary engineering design team that focuses on the design, manufacturing, programming and testing of autonomous aerial vehicles. The design aims to fulfill the constraints that allows the team to participate in the AUVSI SUAS 2021-2022 competition season. The AUVSI competition requires that the system’s UAV have autonomous flight capabilities, ability to perform object avoidance of stationary and dynamic objects, the ability to do object detection, localization, and classification. The system must also perform an airdrop task wherein UAV Forge will be manufacturing an assembly that will interface the UAV with a descent and autonomous ground vehicle. The ground vehicle,once landed, will autonomously drive to its’ set destination to complete payload delivery. Though the emphasis for this year’s team is to perform well in the competition setting, the primary objective is to ensure the undergraduate students participating in the project apply their engineering skills to a compelling real-world problem.

Background/Summary:

BACKGROUND:

We developed a drone that is capable of autonously following another drone through machine vision. 

Temporary

The Brightway Smart Cycler Backpack is aimed to promote safety on the road for cyclers. The Smart Backpack uses a Raspberry Pi alongside a PiCamera module on the openCV platform to detect hazards on the road and warn the cycler of imminent collisions before they occur. The backpack also integrates a heartate sensor and a gyroscope/accelerometer that work together to monitor the health and state of the cycler. Using audible alarms and haptic feedback, the Smart Backpack alerts the cycler when an abnormal heartrate is detected or when the gyroscope detects that the cycler is off balance.

Antchain present Cryptomon, a blockchain-based game that is available on a portable gaming device built on the platform EOSIO and inspired by Tomagatchi. The advent of blockchain or distributed ledger technology (DLT) presents a novel computational architecture that is trustless, immutable, tamperproof, decentralized, and scalable depending on the consensus algorithm which dictates validation of transactions.

■ Design a framework to locate, define, and report radio frequency power levels given a general predefined location.

■ Determine the GPS location of an RF source using a Software Defined Radio mounted on a drone.

■ Utilize MATLAB to merge, analyze and process the digital signals captured and generate a heat map of the acquired power levels dependent on their GPS location.

This project uses machine learning to analyze hand gestures formed by the user through the webcam and maps them as computer input.