At NC State, I will launch the ๐ท๐จ๐น๐ฐ๐บ (๐ท๐๐๐๐๐๐๐ ๐จ๐ฐ, ๐น๐๐๐๐๐๐๐, ๐๐๐
๐ฐ๐๐๐๐๐๐๐๐๐๐ ๐บ๐๐๐๐๐๐) ๐ณ๐๐ ๐๐ค with a mission to advance intelligent systems that can perceive, reason, learn, and act in the physical world.
The PARIS Lab will pursue three interconnected research directions:
๐ง ๐๐ฆ๐๐จ๐๐ข๐๐ ๐ข๐ง๐ญ๐๐ฅ๐ฅ๐ข๐ ๐๐ง๐๐ ๐๐ง๐ ๐๐ก๐ฒ๐ฌ๐ข๐๐๐ฅ ๐๐:
developing AI models and algorithms that enable machines to understand complex environments, reason about actions, and make reliable decisions in real-world settings.
๐ค ๐
๐จ๐ฎ๐ง๐๐๐ญ๐ข๐จ๐ง-๐ฆ๐จ๐๐๐ฅ-๐๐ซ๐ข๐ฏ๐๐ง ๐ซ๐จ๐๐จ๐ญ๐ข๐๐ฌ:
advancing robot navigation and manipulation through vision-language-action models, world models, and generalizable robot learning frameworks.
๐ค ๐๐ฎ๐ฆ๐๐ง-๐๐๐ง๐ญ๐๐ซ๐๐ ๐๐ง๐ ๐๐๐๐ฉ๐ญ๐ข๐ฏ๐ ๐๐ ๐ฌ๐ฒ๐ฌ๐ญ๐๐ฆ๐ฌ:
creating AI and robotic systems that can collaborate naturally with people, continuously learn from interaction, and adapt safely to new tasks and environments.
๐ ๐๐ฆ ๐ซ๐๐๐ซ๐ฎ๐ข๐ญ๐ข๐ง๐ ๐๐ก.๐. ๐ฌ๐ญ๐ฎ๐๐๐ง๐ญ๐ฌ ๐๐จ๐ซ ๐๐ฉ๐ซ๐ข๐ง๐ ๐๐๐๐ ๐๐ง๐ ๐
๐๐ฅ๐ฅ ๐๐๐๐. Prospective students interested in physical AI, robotics, robot learning, foundation models, and human-AI collaboration are very welcome to reach out. If you are interested in working with me, please reach out without hesitation. Please send your ๐๐ ๐๐ง๐ ๐ ๐๐ซ๐ข๐๐ ๐ซ๐๐ฌ๐๐๐ซ๐๐ก ๐ฌ๐ญ๐๐ญ๐๐ฆ๐๐ง๐ญ to zhiyuh001@gmail.com.
I also warmly welcome collaborations with researchers, students, and industry partners who share similar interests.
