Pavelink Masini Atamai Fai Auala by Yan Zhang and Jialu Hou

Pavelink Masini Atamai Fai Auala by Yan Zhang and Jialu Hou is a highly esteemed winner of the very prestigious 2025 A' Design Award Uʻamea in Mamanu Fa'alumana'i Competition Category.

UʻameaFa'alumana'i· 2025

Pavelink Masini Atamai Fai Auala

by Yan Zhang and Jialu Hou

Client: Shandong University of Art & Design

A' Design Award Uʻamea Winner in Fa'alumana'i Category

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Verified Award Winner

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View at A' Design Award Press Release Award Badge

Colors

The Design

About Pavelink Masini Atamai Fai Auala

O le PaveLink o se masini atamai ma fa'avae ta'itasi mo le fausiaina o auala e fa'aleleia atili ai le lelei o galuega, saogalemu, ma le maua o auala i le atina'eina o fa'avae. E aofia ai se faiga loli e toso fa'avae e fa e mafai ona tatala ese ma liliu ai ma avea ma masini tuto'atasi e fa'amā, uta, soli, ma eli. O se mea lele (drone) fa'aeletise e maua ai su'esu'ega o le laufanua i taimi moni, fa'aleleia atili ai ta'iala o le tapena. E ala i le tu'ufa'atasia o le fa'aotekinolosi, fetuuna'iga fa'avae ta'itasi, ma fegalegaleaiga atamai, e le'i na o le fa'avave o le fausiaina o auala e faia e le PaveLink, ae fesoasoani fo'i e fa'aitiitia eseesega o fa'avae, fa'ateleina ai le maua o auala saogalemu ma fa'alagolago

The Recognition

About the A' Design Award Uʻamea

O le A' Design Award Uʻamea na manumalo ai Pavelink Masini Atamai Fai Auala, o se faamaoniga mamalu e tuuina atu i mamanu lelei e faataunuu ai manaʻoga faapolofesa ma pisinisi e faamoemoeina mai galuega ua mamanuina lelei. O ē manumalo i le Uʻamea e faaalia ai le tomai tele, le faapitoa maualuga, le malamalama o tagata poto ma le mafai fatufatuaʻi o ē na faia. E faamoemoeina Pavelink Masini Atamai Fai Auala e avea ma mea ua matuā vivii, mataʻina ma pelepelea e aogā ma fou. O lenei mamanu na manumalo i le A' Design Award Uʻamea e tuufaatasia ai faiga sili o le pisinisi ma e iai uiga faatekonolosi mafai ua fesoʻotaʻi ma le poto ma le taleni. Ona o lona faatuatuaina, e tatau ai Pavelink Masini Atamai Fai Auala ona faaaloalogia ma ua mamanuina e tuuina mai ai faaleleiga o le olaga e fesoasoani e faia ai e le lalolagi se nofoaga e sili atu ona lelei.

Behind the Design

Press Kit

Credits, team members and technical details provided by the designer.

Unique Properties: PaveLink is a next-generation intelligent road builder, designed to enhance efficiency and safety in disaster relief and infrastructure projects. Unlike traditional road machinery, it features a modular architecture, allowing its components to detach and function autonomously for excavation, loading, bulldozing, and compacting. The truck head serves as the central control hub, managing all modules and processing real-time aerial drone data for optimized decision-making. This AI-enhanced system redefines the future of road construction.
Dimensions & Packaging: 17000mm x 4210mm x 3890mm
Tags: Autonomous Road Construction, Modular Heavy Machinery, AI-driven Paving System, Smart Road Builder, IoT in Construction, Disaster Relief Equipment, Smart Construction Technology, Unmanned Machinery, Collaborative Fleet
Production Technology: The design follows a human-centered approach, addressing inequalities in infrastructure development while enhancing safety in road construction. A modular design strategy improves efficiency and functionality, integrating cutting-edge technologies such as IoT, autonomous driving, and AI-assisted automation to minimize labor dependency. Powered by electricity, PaveLink utilizes drone inspections and backend data analysis for multi-module collaboration. It is not just an improvement of existing machinery but a new category of heavy machines.
Design Challenge: PaveLink is not a traditional construction vehicle but a new category of heavy machinery, making it a pioneering design with no direct reference models. The challenge was to integrate multiple functions while ensuring practicality and efficiency. Setting high design standards required continuous validation. Through multiple iterations, expert consultations, and prototype testing with industry partners, we developed a modular and intelligent collaborative system to meet real-world construction demands.
Research: This research is a collaborative project between academia and industry, exploring how emerging technologies can be integrated into large-scale machinery to solve real-world challenges in infrastructure development and unequal access to construction resources. The study combined academic creativity with industrial expertise, where universities contributed design innovation, and companies provided technical support and operator insights through interviews and feedback. This collaboration ensured PaveLink’s feasibility, advancing smart construction solutions that promote efficiency, safety, and inclusivity in future infrastructure development.
Inspiration: Road construction is the backbone of local development, yet many underdeveloped regions, disaster-affected areas, and rugged terrains face immense challenges in building and maintaining roads. High construction complexity and safety risks remain persistent issues. Inspired by emerging technologies, PaveLink integrates AI-driven automation and IoT connectivity to address disparities in infrastructure development, making road construction smarter, faster, and more resilient.
Project Duration: The project was launched in Shandong in February 2024 and concluded in Shandong in June 2024. It was recognized by the Shandong provincial government and participated in the 14th National Art Exhibition of China in 2024.
Operation Flow: Initially, PaveLink appears as a single truck, with all road-building modules connected. Upon reaching the construction site, the truck head acts as the command center, operated by technicians. The modules detach and transition into autonomous operation, optimizing workflow through AI-coordinated control. Powered by electricity, all units remain linked via cables, receiving real-time power and instructions. Aerial drones detach to provide precise terrain mapping and safety monitoring, ensuring optimal performance in complex environments.
Team Members: Yan Zhang
Jialu Hou
Image Credits: Project Assistant Lulu Zhang, Wenyi Qin