Skip to main content Skip to footer Skip to header area

Center for Intelligent Team Robotics & Human-Robot Collaboration

Digital Twin & HRI

Yu-Chih Chen Assistant Professor

Yu-Chih Chen

Research Field

Multimodal Perception & Learning, Generative AI Media, Computer Vision, Deep Learning, Interactive & Immersive Media

Education

Ph.D. in Electrical and Computer Engineering,The University of Texas at Austin

Lab

Multimedia, Multimodal, and Metaverse Laboratory (M³ Lab)

Application Fields

VR/AR/XR digital twins, human-robot collaboration interfaces, teleoperation and remote monitoring, smart manufacturing, warehouse logistics, inspection robots, healthcare assistance, disaster response training and simulation, generative AI content evaluation, audiovisual streaming quality monitoring, and interactive/immersive media platforms.

Technology Available for Transfer

Currently, there are no completed commercialization-ready or formally transferred technologies. However, the team has established research foundations in image/video quality assessment, VR avatar quality assessment, mobile cloud gaming VQA, interactive media QoE evaluation, and generative AI content assessment. These foundations can serve as the basis for future technology development and industry-academia collaboration.

Technology in Development

Quality assessment technologies for robot-perceived VR digital twins. 2. Models for evaluating visual quality, information consistency, and trustworthiness in multimodal digital twin interfaces. 3. Task-aware video quality assessment models for predicting the impact of visual quality on human decision-making performance. 4. Reliability evaluation technologies for generative AI-assisted explanations and operational recommendations. 5. Quality-aware VR/AR human-machine interaction interface optimization methods.

Contact

Faculty Webpage: Webpage

Laboratory: M³ Lab