Weiyu Liu

Weiyu Liu is an incoming Assistant Professor at the Kahlert School of Computing, University of Utah. Previously, he was a Postdoctoral Scholar at Stanford University in the CogAI group and Stanford Vision and Learning Lab (SVL), after completing his Ph.D. in Robotics at Georgia Institute of Technology under the supervision of Sonia Chernova.

• Ph.D. in Robotics (Georgia Tech)
• Bachelor's in Electrical Engineering (Georgia Tech)

His research focuses on developing robots that can perceive, model, and interact with the real world through structured knowledge representations grounded in language and sensorimotor data. Key areas include language-guided manipulation, long-horizon task execution, and semantic reasoning frameworks for robotic systems.

His recent work (2024) explores:

• Language-annotated demonstration integration (BLADE framework)
• 3D visual grounding with concept learners
• Embodied decision-making benchmarks
• Long-horizon inference challenges
• 4D instruction grounding from videos

Scientific contributions include the RSS Pioneer (2023) recognition and First Place in Fetch It! Mobile Manipulation Challenge (2019). He advocates for weekly individual mentoring, open research dissemination, and holistic student development in both academic and personal growth.