B.S. Candidate — Computer Science & Materials Science

Tianshan Zhang张天山

I work on generative models and vision-language-action systems — toward machines that can perceive, reason, and act in the physical world.

Stanford Bunny — an interactive point-cloud study

Research

Generative AI for embodied intelligence. I am interested in connecting generative AI with robotics, particularly through vision-language-action models that integrate perception, reasoning, and physical action.

Robot learning and manipulation. My work explores how multimodal representations and generative models can help robots understand instructions, interact with their environment, and perform robust manipulation tasks.

Experience

Peking University logo

Peking University

Vision-Language-Action Models, Generative Models, Robotic Manipulation

2025 – Present

Zhipu AI logo

Zhipu AI

Mathematical Reasoning, LLM Inference

2025 – 2026

Institute of Automation, CAS logo

Institute of Automation, CAS

Generative Models

2024 – 2025