Digital Fabrication Lab

Exploring the intersection of Computational Fabrication, Digital Manufacturing, Robotics, and Artificial Intelligence.

Latest News

2026

New paper "Enhanced Mechanical Properties of 3D Printed Composites via Continuous Metal Fiber Reinforcement and Process Parameter Optimization" published in Additive Manufacturing.

2025

New paper "FDM continuous filling path planning method based on stress field direction guidance" published in Journal of Advanced Manufacturing Technology.

2024

New paper "A Comparative Review of Multi-Axis 3D Printing" published in Journal of Manufacturing Processes.

2024

New paper "Digital twins for hand gesture-guided human-robot collaboration systems" published in IMechE Part B.

Research Projects

LLM-driven Process Generation

LLM/AI Agents Continuous Fiber Large-scale AM G-code Automation

An automated framework utilizing Large Language Models to directly translate natural language descriptions and STL models into equipment-specific G-code for continuous fiber additive manufacturing.

Multi-physics Driven Smart CFRPCs

CFRPCs Multi-physics Proprioception Robotics

An integrated manufacturing approach fusing multi-physics fields, toolpaths, and material testing. It embeds in-situ damage monitoring and intrinsic intelligence into CFRPCs, enabling the fabrication of proprioceptive robot limbs.

Weaving Path Planning for FDM

FDM/FFF Toolpath Interlocking

A 3D weaving toolpath constructed by a 5-layer cyclic structure to improve inter-layer bonding and reduce anisotropy.

Continuous Fiber-reinforced 3D Printing

Composite Continuous Fiber Sustainability

Continuous fiber-reinforced printing on standard FFF platforms with spatial continuous toolpath planning.

Multi-axis Robotic 3D Printing

Robotics Multi-axis Non-planar

Multi-axis robotic extrusion system enabling printing on spatial and curved surfaces.

Rule-driven Topology Optimization

Topology Optimization AI in Design

Rule-based topology optimization using defeasible logic to accumulate and reuse design knowledge.

Selected Publications

Teaching

人工智能基础A

2026年春季学期

Spring 2026

Principal Investigator

Yuan Yao

Associate Professor

Affiliations:
Rapid Manufacturing Center, Shanghai University
Engineering Training Center, Shanghai University

Research Interests:
Computational Fabrication, Additive Manufacturing, Computer-aided Design, Biomanufacturing, Augmented Reality, and Robotics.

Contact:
[email protected]

Google Scholar Personal Homepage GitHub

Seminar & Resources