Peking University
2025 - Present
Vision-Language-Action Models, Generative Models, and Robotic Manipulation
Exploring VLA models and generative policies for robot manipulation.
2025 - Present
Tianshan Zhang
B.S. Candidate
Computer Science and Materials Science
A view of computer graphics, expressed through physical simulation.
FIELD
CS & AI
INTEREST
3D Vision
ROLE
Research Intern
Stanford Bunny
PLY / INTERACTIVE SURFACE
DRAG TO ROTATE · HOVER TO DEFORM
Night study
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Academic Profile
Research Interests
- Generative AI for Embodied IntelligenceI am interested in connecting generative AI with robotics, particularly through vision-language-action models that integrate perception, reasoning, and physical action.
- Robot Learning and ManipulationMy work explores how multimodal representations and generative models can help robots understand instructions, interact with their environment, and perform robust manipulation tasks.
Biography
I am a third-year undergraduate studying Computer Science and Materials Science. My current research focuses on generative AI and robotics, especially vision-language-action models and robot manipulation.
My goal is to build intelligent systems that connect perception, reasoning, generation, and action, enabling robots to understand complex environments and interact with them effectively.
Research Experience
Zhipu AI
2025 - 2026
Mathematical Reasoning and LLM Inference
Studying inference strategies for mathematical problem solving in large language models.
2025 - 2026
Institute of Automation, CAS
2024 - 2025
Generative Models
Worked on GAN-based generative models for visual content synthesis.
2024 - 2025
Academic Columns
Notes
Research notes and methodological insights from my ongoing projects.