Reinforcement Learning

XR-Lab’s project was selected to join the  Undergraduates Pursuing Research in Science and Engineering (UPRISE) Program
UNDERGRADUATE SUMMER RESEARCH PROGRAM IN SCIENCE AND ENGINEERING
May 6 – July 26, 2024

 

Project title: Reinforcement Learning (RL) system in Game Engine

Student: Mikhail Nikolaenko. UC. PI: Ming Tang. 

This project proposes the development of a sophisticated reinforcement learning (RL) system utilizing the robust and versatile environment of Unreal Engine 5 (UE5). The primary objective is to create a flexible and highly realistic simulation platform that can model a multitude of real-life scenarios, ranging from object recognition, urban navigation to emergency response strategies. This platform aims to significantly advance the capabilities of RL algorithms by exposing them to complex, diverse, and dynamically changing environments. Leveraging the advanced graphical and physical simulation capabilities of UE5, the project will focus on creating detailed and varied scenarios in which RL algorithms can be trained and tested. These scenarios will include, but not be limited to, urban traffic systems, natural disaster simulations, and public safety response models. The realism and intricacy of UE5’s environment will provide a challenging and rich training ground for RL models, allowing them to learn and adapt to unpredictable variables akin to those in the real world.

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AE studio 2024

AE Studio 3004, Restaurant Design

 

Spring 2024. Instructors: Ming Tang, Samira Sarabandikachyani

This studio serves as a comprehensive introduction to designing a building. 

Honors Seminar student projects

“Human-Computer Interaction in the Age of Extended Reality & Metaverse” student projects

Spring. 2024.  UC

Under the guidance of Ming Tang, Director of the XR-Lab at Digital Futures and DAAP, UC, this honors seminar course has propelled students through an immersive journey into the realm of XR. The course encompasses Extended Reality, Metaverse, and Digital Twin technologies, providing a comprehensive platform for theoretical exploration and practical application in XR development.

The coursework showcases an array of student-led research projects that investigate the role of XR in various domains, including medical training, flight simulation, entertainment, tourism, cultural awareness, fitness, and music. Through these projects, students have had the opportunity to not only grasp the intricate theories underpinning future HCI developments but also to apply their skills in creating immersive experiences that hint at the future of human-technology interaction.

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Digital Twin of Cincinnati

A realtime flythrough demo for Digital Twin of City Cincinnati

Digital Futures Building at the University of Cincinnati

Destroy Alien buildings near the UC campus. Project developed by students Cooper Pflaum and Nishanth Chidambaram. 

P&G Metaverse

Title: Leveraging Metaverse Platforms for Enhanced Global Professional Networking – Phase 1

Ming Tang, Principal Investigator

Amount: $32,416

Funding: P&G Digital Accelerator.

Gotal: Metaverse technologies for global engagement. Human-Computer Interaction, Digital Human. Immersive visualization. 

  • P&G Team. : Elsie Urdaneta, Sam Azeba. Paula Saldarriaga, JinnyLe HongOanh
  • UC Team: Ming Tang, Students: Nathaniel Brunner, Ahmad Alrefai, Sid Urankar

In Phase 1 of the “Leveraging Metaverse Platforms for Enhanced Global Professional Networking” project, conducted in partnership with P&G, the XR-Lab proposes a pilot study aimed at identifying and analyzing the top five metaverse platforms best suited for professional networking and conferencing.  The metaverse has opened unprecedented opportunities for communication, collaboration, and social engagement, offering innovative solutions for professional networking and conferencing. In Phase 1, “Surveying the Current Metaverse Landscape,” the UC team examined the top five metaverse platforms to evaluate their potential for replicating global in-person professional networking experiences and supporting multi-user online conferences.

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