Teams

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  • NEW TEAM: Better Place Drones

    The drone industry has grown to the point where larger, more robust applications are feasible. These applications include firefighting, planting seedlings to fight deforestation, and supplying first aid to areas that lack the infrastructure to support conventional aircraft. This VIP project fills this gap by creating a universal hybrid drone platform for students to use as a base for further...
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  • NEW TEAM: Cyber-Physical Systems

    Cyber-physical systems (CPSs) integrate computational components with physical processes, e.g., robotics, automobiles, factories. Students in this course will learn CPS concepts such as design fundamentals through hands-on development and verification, as well as red-teaming for vulnerability discovery and mitigation. Students will address issues involving design complexity, security, and...
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  • NEW Team: Biomedical Systems for Vascular Health

    Our goal is to create a new division of VIP undergraduate students focused on developing biomedical technology to contribute to vascular health monitoring and disease diagnosis. They will work in a multidisciplinary setting to gain hands-on experience and confidence in designing, fabricating, testing and analyzing devices. We aim to design teams to work on a variety of sub-projects so...
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  • 2D Heterostructure Synthesis

    To develop 2-D to 2-D tunneling structures to enable for smaller, faster, more capable microelectronic devices applied to a broad range of applications such as energy, RF, and sensing.
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  • 3D Printing on the Nanoscale

    The goal of this team is to create educational tools for nanoscale additive manufacturing (AM) based on two-photon absorption (TPA) so that high-skills nanoscale three-dimensional (3D) printing can become as prolific as hobbyist 3D printing is today. TPA-based nanoscale AM has the unique ability to use light to produce 3D structures with features as small as 100 nm. These structures have...
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  • ACT Driving Simulator

    The ACT (Autonomous and Connected Transportation) Lab is focused on understanding the interactions between drivers/travelers, emerging vehicular technologies, and novel infrastructure designs. To this aim, a high-fidelity full-cab driving simulator is employed for data collection. Based on the data collected in the simulated environment, as well as data from other sources, the research team ...
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  • AI-based Discovery and Innovation

    Using artificial intelligence (AI)-based approaches (especially manifold learning) for understanding the delicate rules of nature and utilizing them for forming innovative software- and hardware-based tools for addressing the major challenges in a wide range of disciplines. ...
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  • AVA Digital Human

    Create Ava: an intelligent, full-body, controllable human avatar that can hear/see and is capable of natural, spoken conversations with humans.
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  • Accelerating Materials Discovery with AI

    Finding new materials to serve as the next generation catalysts, batteries, solar cells, superconductors or electronic devices can have a potentially transformative impact on our lives and society. Here, we seek to leverage state-of-the-art machine learning methods to accelerate the process of materials discovery and design far beyond what is possible using conventional simulation and...
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  • AccessCORPS

    AccessCORPS will train students (and others) to systematically assess the accessibility of GT course materials, to determine any barriers a student with an impairment or disability or other challenge may face when taking the course. The AccessCORPS team members will then work with the course instructor(s) to reduce access barriers in the materials and other aspects of the course, while also...
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  • Active Safety for Autonomous and SemiAutonomous Vehicles

    To develop a system that will be able to drive like an expert human driver. In order to achieve this, we will initially monitor the driving styles of several drivers using a high-fidelity driving simulator. Based on the measurements, we will be able to classify drivers according to their skill using graphical inference models. We will then develop suitable models for drivers’ actions and...
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  • Advanced Graphene Battery Technology

    For students to learn the theory and gain the skills necessary to fabricate next-generation batteries for EVs, spacecraft, and Smart Cities infrastructure.
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  • Agile Communication Architectures

    Future wireless communication devices will need to dynamically learn their environment and opportunistically exploit spectrum. The goal of this project is to integrate machine learning algorithms into communication architectures to achieve the agility required for the task. The team will participate to the DARPA Spectrum Collaboration Challenge (SC2) and test its solutions against other...
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  • Agile Locomotion & Manipulation

    The Laboratory for Intelligent Decision and Autonomous Robots (LIDAR) at Georgia Tech focus on planning, control, and decision-making algorithms of highly dynamic, under-actuated, and human-cooperative robots in complex environments. The VIP Team will explore the challenging research topics in mechanical design, mechatronics, control algorithm design, and perception of dynamic legged...
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  • AquaBots: Maritime Robotics

    Aquabots will explore new research in maritime robotics including navigation of underwater and surface vehicles, mapping and exploration underwater, and other challenging maritime robotic technologies.
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  • Art & AI

    This project brings together histories and concepts of visual culture and image making with explorations of technology and artificial intelligence. We are an artist and AI researcher exploring approaches to applying machine learning to create artistic images. Our team is analyzing the application of machine learning to the creative act of image making. Working collaboratively in the areas of...
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  • Autobots

    To design and instantiate autonomous mobile robots capable of performing non-trivial tasks in support of people, in life and in work. Emphasis is on task-driven autonomy and underlying algorithms needed to realize it.
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  • Automated Algorithm Design

    To develop a framework that fundamentally alters the development of algorithms. We desire to create an automated method that starts with the best human algorithms and then dispassionately develops hybrid algorithms that outperform existing methods. Next, we prove that these algorithms can also be studied by humans for inspiration in development of new algorithm and optimization methods. ...
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  • Automotive LIDAR

    To develop an automotive LiDAR system in support of the emerging technical area of vehicle autonomy and increased safety.
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  • Big Data and Quantum Mechanics

    Leverage advances in machine learning and data analytics to enable faster and more accurate calculations of chemical properties using quantum-mechanical techniques such as density functional theory (DFT). ...
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