Carnegie Mellon University · School of Computer Science
Ray Muxin Liu
I am an undergraduate at Carnegie Mellon University studying Artificial Intelligence in the School of Computer Science, class of 2027. I am currently a third-year student and interested in research at the intersection of robotics, embodied AI, and learning systems.
I am preparing to apply for PhD programs and am especially drawn to work on dexterous manipulation, robot learning, and scalable approaches for bridging semantics with physical interaction.
Email:
- Program
- B.S. in Artificial Intelligence
- School
- CMU School of Computer Science
- Year
- Class of 2027 · Third Year
- Focus
- Robotics, embodied AI, manipulation
About
Research direction
I am interested in building intelligent systems that connect perception, reasoning, and action in the physical world. My current interests are centered on dexterous robot manipulation, functional grasping, and representation learning for embodied agents.
This site will continue to evolve as I refine my research philosophy, document projects, and share notes on papers and technical ideas.
Current interests
What I want to work on
- Dexterous manipulation and contact-rich control
- Robot learning that generalizes beyond narrow lab settings
- Embodied AI systems grounded in geometry and semantics
- Research training that prepares for long-term PhD work
Papers
Selected papers
A short list for now. I can expand this section once you want to add more projects, preprints, talks, or a fuller publication record.
Bimanual Dexterity for Complex Tasks
Conference on Robot Learning (CoRL) 2024
A low-cost, highly dexterous bimanual teleoperation system for collecting data and training policies for complex multi-hand manipulation tasks.