Laboratory for Innovative Materials, Guided-manufacturing & Photonics · ISD & ECE

AI & Robotics-Assisted Laser Dry Manufacturing of Functional Materials

以 AI 与机器人为“数字化反应器”,用激光干法制备替代传统湿化学合成

We transform materials synthesis from wet chemistry into a programmable, solid-state, digitally controlled process — where AI designs micro/nano architectures and robotic systems execute laser programs to build functional materials layer-by-layer, solvent-free.

激光–物质相互作用在固态与聚合物介质中实现局部加热、还原、烧蚀与相变,让我们以极少的溶剂与废液合成并图案化功能材料。

Principal Investigator — Prof. Mitch Guijun Li (李桂君) · HKUST · LiMG Lab
90+
Peer-reviewed publications (2010–2026)
6
Core dry-laser platforms
8
Application domains
0
Solvents in our dry route
Vision

From Wet Chemistry to Digital Dry Fabrication

Laser–matter interaction enables localized heating, reduction, ablation, and phase transformation in solid and polymeric media — letting us synthesize and pattern functional materials with minimal solvents and waste streams. We treat materials manufacturing as a software-defined, dry process: AI designs the micro/nano architecture, and robotic systems execute laser programs to build functional materials layer-by-layer, without conventional solution-based chemistry or batch reactors.

🌊 Traditional Wet Chemical Approach

Solvent-heavy, multi-step, hard to localize
  • Solvent-heavy & polluting — toxic organics, acids, extensive liquid-phase waste treatment
  • Complex multi-step workflow — spin-coating, wet etching, CVD, manual transfer
  • Low spatial precision & rigid design — hard to reconfigure localized phases dynamically
  • Lengthy drying times and energy-intensive batch reactors

⚡ Our AI & Robot-Assisted Laser Dry Approach

Solvent-free, maskless, autonomous, precise
  • Eco-friendly dry processing — solvent-free, clean, green, direct-write fabrication
  • Single-step & autonomous — integrated robotic handling and automated laser writing
  • AI-driven precision — closed-loop control, intelligent path planning, localized multi-physics tuning
  • True green manufacturing aligned with global carbon-neutrality goals
Why AI & Robotics + Laser Dry Method

Three reasons we bet on the digital dry route

Intelligent Process Optimization

Laser parameters — pulse width, power, scanning speed — span a vast multi-dimensional design space. AI predicts and optimizes laser–material interactions, minimizing trial-and-error.

Robotic Automation for High-Throughput

Robotic arms and automated stages streamline large-area scanning, roll-to-roll compatibility, and precise multi-material integration — scaling from lab to line.

True Green Manufacturing

Our route completely eliminates liquid chemical waste, aligning with global carbon-neutrality and sustainable-manufacturing goals — cleaner, faster, more scalable.

Closed-Loop, Self-Correcting Fabrication

The same architecture extends to vision-driven, feedback-controlled fabrication: EIT, optical, and electrical sensing modules monitor transport phenomena (water, ions, droplets) during and after laser processing — enabling self-correcting dry workflows that bridge design, fabrication, and performance.

AI & Robotics-Enabled Fabrication Stack

A closed loop from inverse design to self-correcting devices

We integrate AI models, in-situ sensing, and robotics into our laser platforms to close the loop between design, fabrication, and performance.

The Digital Dry Manufacturing Loop

🧠
AI Inverse Design
microstructure & path generation
🤖
Robotic Execution
stages & manipulators
🔆
Laser Process
DLW · LIG · printing
🧩
Functional Material
device on substrate
📡
In-Situ Sensing
EIT · optical · electrical
↺ Real-time feedback optimizes laser parameters & robot paths → self-correcting dry manufacturing
Core Dry Laser Platforms & Methods

Three pillars of solvent-free fabrication

1

Direct Laser Writing (DLW) of Functional Materials

We pattern graphene electrodes, flexible circuits, and functional surfaces directly on polymers and textiles — avoiding photolithography and multi-step wet processing. This dry approach underpins skin-integrated electronics, wearable HMI interfaces, and digital manufacturing of on-body sensing and soft-robotic skins.

Adv. Mater. Technol. 2026 — DLW for wearable HMI J. Appl. Phys. 2020 — Direct laser writing of graphene electrodes
2

Laser-Induced Graphene & Laser Surface Engineering

Laser-induced graphene (LIG) and laser surface micromachining create conductive, superhydrophobic, and superwetting architectures on masks, membranes, and coated metals. These dry-processed surfaces enable moisture management, passive decontamination, and high-performance sensing — eliminating conventional wet etching or complex chemical coatings.

Adv. Sci. 2024 — LIG for portable tomography Carbon 2023 — laser-assisted Cu/graphene ACS AMI 2025 — laser-crafted wetting surfaces
3

Laser Printing, Transfer & Guided Self-Assembly

We combine laser-induced forward transfer, electroplating-assisted laser transfer, and laser-guided self-assembly to position metals, oxides, and nanomaterials with high spatial precision. By exploiting laser-driven rolling and self-organization of thin films, we fabricate 3D micro-rolls, microcilia arrays, and small-scale swimmers as dry-produced micro-actuators and robotic elements.

Nat. Commun. 2025 — laser-printed 3D S cathode ACS Nano 2025 — graphene micro-rolls Small 2026 — laser-guided microrobots
Application Domains

AI & Robotics-Assisted Dry Materials Systems

From on-body sensing to micro-robotics and energy — one digital dry platform, many outcomes.

Skin-Integrated AI Sensing & Smart Textiles

Laser-written circuits, flexible electrodes, and textile sensors for continuous health monitoring, sports rehab, and human–machine interaction.

Adv. Mater. 2026 · Adv. Mater. Technol. 2026

Autonomous Droplet Transport & Micro-Robotic Actuators

Microcilia arrays, micro-rolls, and thin-film swimmers manipulate droplets and flows; ultrathin microheaters for insect control; untethered swimmers.

Small Methods 2025 · Adv. Intell. Syst. 2025 · Small 2026

Dry-Fabricated Electrochemical Sensing & POC Diagnostics

Enzyme-free biosensors and portable diagnostics by laser-printing metal/oxide nanostructures on carbon cloth and textiles — NAD+, glucose, urea, viral RNA.

Biosens. Bioelectron. 2024 · Small 2026 · Small Methods 2023

Dry Interfaces for Water Harvesting, Desalination & EIT Imaging

Laser-defined wettability and photothermal interfaces control transport in hydrogel/aerogel frameworks; EIT images water/salt pathways in soft materials.

Adv. Funct. Mater. 2025 · Adv. Sci. 2024

Digitally Printed Energy Devices & Perovskite Optoelectronics

Integrated sulfur cathodes, modified separators, and perovskite devices via dry/near-dry laser processing; AI guides microstructure engineering.

Nat. Commun. 2025 · Energy Environ. Sci. 2020

Food 3D Printing, Digital Gastronomy & Thermal Robotics

Multi-material extrusion + in-situ laser cooking + generative AI design; spherical origami Joule heaters extend dry laser manufacturing to thermal-comfort robotics.

Adv. Mater. 2025 · Adv. Mater. Interfaces 2024

Moisture Management, Superhydrophobic Surfaces & Antibacterial Coatings

Breathable superhydrophobic membranes, self-decontaminating respirators, and bactericidal coatings — robust moisture control without chemical baths.

Small Methods 2024 · ACS Nano 2020 · Rare Met. 2026

Advanced Lithography & Magnetic Patterning for AI Hardware

Nanoimprint-assisted block copolymer self-assembly and metallopolymer precursors produce ultra-fine FePt magnetic nanoparticle patterns for AI hardware.

Nano Lett. 2024 · Angew. Chem. 2020
Representative Publications

Selected works behind the digital dry platform

Full, chronological list of 90+ papers → limg.hkust.edu.hk/full-publication-list

Nature Communications · 2025Single-Step Laser-Printed Integrated 3D Sulfur Cathode toward High-Performance Lithium–Sulfur BatteriesR. Yang, Y. Chen, Y. Pan, M. Kim, … G. Li*Energy
Small · 2026Laser-Guided Self-Rolled Magnetic Microrobots for Targeted Biofilm Eradication in Severely Infected Medical StentsY. Chen, R. Yang, M. Kim, … G. Li*Microrobotics
ACS Nano · 2025One-Step Laser-Guided Fabrication of 3D Self-Assembled Graphene Micro-RollsY. Chen, X. P. Lu, G. Ma, … G. Li*Self-Assembly
Advanced Intelligent Systems · 2025Autonomous Robotic Ultrathin Laser-Scribed Microheater for Effective Insect ControlW. Y. Poon, H. Zhong, Y. Xu, … G. Li*Robotics
Advanced Materials · 2025Advanced 3D Food Printing with Simultaneous Cooking and Generative AI DesignC. K. W. Lee, Y. Xu, Q. Yuan, … G. Li*Generative AI
Small · 2026Laser-Engineered Ag Nanoparticles on Carbon-Cloth Electrodes for Enzyme-Free Electrochemical NAD+ DetectionL. Jing, Y. Pan, Y. Huang, … G. Li*Diagnostics
Biosensors & Bioelectronics · 2024Multifunctional Laser-Induced Graphene Circuits and Laser-Printed Nanomaterials toward Noninvasive Kidney Function MonitoringY. Huang, H. Zhong, R. Yang, … G. Li*LIG · Health
Advanced Science · 2024Seeing through Muddy Water: Laser-Induced Graphene for Portable Tomography ImagingH. Zhong, X. Lu, R. Yang, … G. Li*EIT Imaging
Rare Metals · 2026Laser-Patterned Antibacterial Microgrids with Silver Nanoparticles for Autonomous Sterilization on Public Escalator BeltsY. Xu, Y. H. T. Chan, X. Lu, … G. Li*Antibacterial

Collaboration, Translation & the Greater Bay Area Ecosystem

Located in the Hong Kong–Shenzhen Greater Bay Area, our lab actively collaborates with robotics companies, materials manufacturers, healthcare providers, and energy-technology firms to translate dry laser manufacturing platforms into industrial practice.

We welcome partnerships on AI-enhanced laser fabrication cells, robotic deployment of smart materials, and integrated sensing–actuation systems that replace traditional wet chemistry with scalable, digital dry manufacturing lines.

Robotics companiesMaterials manufacturers Healthcare providersEnergy-tech firms GBA translationWet-chemistry replacement

Partner with LiMG

From fabrication cells to deployed smart materials — let’s build the dry, digital future of materials together.

Visit the LiMG Lab →
LiMG · Laboratory for Innovative Materials, Guided-manufacturing & Photonics
Prof. Mitch Guijun Li (李桂君) · Division of Integrative Systems and Design (ISD) & Dept. of Electronic and Computer Engineering (ECE) · HKUST
AI & Robotics-Assisted Laser Dry Manufacturing of Functional Materials
Content & citations reflect published work by the LiMG group.