About Me
I am an M.Eng. student in Electrical and Computer Engineering at Cornell University, with research interests in robotics and robot learning. I am interested in developing learning-enabled robotic systems that can adapt, generalize, and operate reliably in the physical world.
I am currently seeking Ph.D. opportunities in Robot Learning.
Research Interests
- Robotics
- Robot Learning
- Learning-enabled robotic systems
Research
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Cooperative Multi-Agent Humanoid Manipulation (Present)Using OMOMO human–object interaction demonstrations and an OmniRetarget-based pipeline, we generate motion references for Unitree G1 humanoids and train single-agent whole-body motion-tracking policies. These pretrained policies are then used to initialize a multi-agent reinforcement learning framework for cooperative humanoid push and pull tasks. We are currently investigating the emergence of cooperative behaviors among multiple humanoid agents without explicitly assigned roles.
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Physics-Aware Architecture for Metalens-Based Monocular Depth (Present)Building on Physically Grounded Monocular Depth via Nanophotonic Wavefront Encoding, I am designing a PromptDA-inspired architecture that extracts x- and y-direction shifts from polarization images and integrates these optical cues into a depth foundation model for metric depth estimation.
Education
Cornell University
Master of Engineering (M.Eng.) in Electrical and Computer Engineering
2025.08 – 2026.12 (Expected)
Hefei University of Technology
Bachelor of Engineering (B.Eng.) in Optoelectronic Information Science and Engineering
2021.09 – 2025.05
Projects
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