VISTA – Phase 1 ($81,413) marks the continuation of XR-Lab’s collaborative research efforts at UC with CIC. This new track will explore advanced AI-related topics, including computer vision, synthetic imaging, procedural modeling, machine learning, and reinforcement learning.
Project Title: Virtual Immersive Systems for Training AI, Phase 1. PI: Tang. Award Amount: $81,413. Project Period: 07/01/2025 – 11/01/2026
https://i2.wp.com/ming3d.com/new/wp-content/uploads/2025/03/image.png?fit=1366%2C100910091366Ming Tanghttp://ming3d.com/new/wp-content/uploads/2022/01/TY_logo-300x300-new.pngMing Tang2025-03-18 17:48:022026-01-23 16:06:53SMAT: Scalable Multi-Agent AI for DT
Project VISM (Virtual Interactive Simulation for Material customization)
Interactive Visualization with User-Controlled, Procedural-Based, and Physical-Based Material Customization.
PI. Ming Tang.
P&G Team: Kim Jackson, Andrew Fite, Fei Wang, Allison Roman
Virtual Reality Training on Issues of Youth Firearm Possession.
PI. Tang. 8/5/2024-8/4/2025.
Funded by the God.Restoring.Order (GRO) Community, this research project will develop several VR scenarios that simulate environments designed to educate youth on applying critical skills in risky situations.
Team: Ming Tang, XR-Lab, Aaron Mallory, GRO.
XR-Lab students: Aayush Kumar, Mario Bermejo, Jonny Peng, Ahmad Alrefai, Rohit Ramesh, Charlotte Bodie
The XR-Lab collaborated with the GRO community to leverage advanced extended reality (XR) technologies in the development of a virtual reality (VR) training application designed to strengthen the curriculum by reinforcing key competencies through immersive learning activities. In partnership, we evaluated the feasibility of integrating VR technology into the GRO training program, providing participants with an engaging narrative framework while equipping them with practical knowledge applicable to real-world contexts. The immersive VR scenarios addressed high-risk situations, including firearm possession and substance use, thereby creating a controlled environment for experiential learning and skill development.
The XR-Lab has harnessed advanced motion capture technology in this project to translate the movements of real people into lifelike digital characters. Every gesture, shift in posture, and subtle facial expression is carefully recorded and mapped to ensure authenticity and emotional depth in the virtual environment.
Our development team has worked closely and continuously with the GRO community, engaging in multiple motion studies, rehearsals, and testing sessions. This collaboration allows us to capture not just movement, but the nuance behind each action — the personality conveyed through body language, and the emotional context embedded in facial expression.
Through this process, the digital characters become more than avatars; they become authentic extensions of human experience, reflecting the stories. The result is an immersive, emotionally resonant experience where technology and humanity move together.
https://i1.wp.com/ming3d.com/new/wp-content/uploads/2024/09/chatGRO2.jpg?fit=653%2C644644653Ming Tanghttp://ming3d.com/new/wp-content/uploads/2022/01/TY_logo-300x300-new.pngMing Tang2024-09-15 17:35:162026-02-19 19:36:26VR Training on Issues of Youth Firearm Possession
Automatic Scene Creation for Augmented Reality Work Instructions Using Generative AI. Siemens. PI. Ming Tang. co-PI: Tianyu Jiang. $25,000. UC. 4/1/2024-12/31/2024
Team: Ming Tang, XR-Lab, Aaron Mallory, GRO.
