Atlas Snjall lyftari by Fan Wu is a highly esteemed winner of the very prestigious 2026 A' Design Award í silfri in Vélmenni, sjálfvirk kerfi og sjálfvirkni Competition Category.

SilfurVélmenni· 2026

Atlas Snjall lyftari

by Fan Wu

Client: Shanghai Seer Intelligent Technology Co., Ltd.

A' Design Award í silfri Winner in Vélmenni Category

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The Design

About Atlas Snjall lyftari

Snjalli lyftarinn Atlas nýtir EmboSense samþætta skynjarann til að ná nákvæmri umhverfisskynjun og BEV rýmislíkanagerð. Ásamt sjónrænni staðsetningarkortlagningu og fjölþættri ályktunargetu styður hann sjálfvirka leiðaráætlun, kvika hindranaforðun og verkefnaaðlagaða bestun, sem gerir kleift að laga hann hratt að iðnaðaraðstæðum eins og vöruhúsaflutningum og aðstoð við framleiðslulínur.

The Recognition

About the A' Design Award í silfri

Atlas Snjall lyftari vann A' Design Award í silfri, gífurlega virta viðurkenningu sem veitt er hönnunarverkum í fremstu röð, stórfallegum og áhrifamiklum. Sigurvegarar í silfri eru ákaflega snjöll og afar skapandi verk sem sýna framúrskarandi sérfræðiþekkingu, hæfileika og skarpskyggni hönnuða sinna. Þess er vænst að Atlas Snjall lyftari sé dásamlegt sýningarverk sem er einstaklega fagmannlegt og djúpt nýstárlegt. Þetta hönnunarverk sem vann A' Design Award í silfri er mjög athyglisverð, dáð uppfinning sem gagnast og færir mörk listar, vísinda, hönnunar og tækni fram á við. Atlas Snjall lyftari er mjög öfunduð sköpun sem vekur langanir, færir jákvæðar tilfinningar og kveikir undrun og aðdáun.

Behind the Design

Press Kit

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

Unique Properties: Atlas is an industrial grade smart forklift embodied robot designed for warehouse and manufacturing environments. Integrating BEV perception, AI Agent planning, and end to end execution capabilities, it forms a complete closed loop from environmental perception to task comprehension to autonomous operation, optimizing goods handling processes and addressing the complex deployment and rigid usage typical of traditional autonomous mobile robots.
Dimensions & Packaging: 1206 mm x 1542 mm x 1727 mm
Tags: Smart Forklift, BEV Perception, AI Agent Autonomous Planning, Flexible Logistics, Natural Interaction, End to End Execution, Modular Deployment, Warehouse Automation
Production Technology: The Atlas chassis combines a high strength aluminum alloy frame with composite protective panels for optimal weight durability balance. Its cameras and LiDAR are housed in a roof mounted perception tower with active dust removal and temperature control, ensuring industrial grade reliability. Wireless charging allows uninterrupted power replenishment during operation, boosting continuous efficiency.
Design Challenge: Handling uncertainty is considered as the biggest challenge. Industrial sites are rife with unpredictability, goods slightly displaced, temporary water on the floor, personnel unexpectedly entering the area. Traditional automation relies on strictly regulated environments, whereas Atlas must actively adapt to complex changes. A probabilistic decision making model and continuous learning mechanism enable Atlas to grow smarter with each unexpected event.
Research: Atlas features the integrated EmboSense sensor, unifying a 3D LiDAR with four fisheye cameras. This delivers 360°environmental perception free of blind spots. Coupled with vision algorithms, it produces high precision panoramic view and colored Gaussian spheres, enabling precise identification of shelves, goods, aisles, and other elements. The system also supports end to end object recognition and continuous self learning iteration.
Inspiration: Existing industrial autonomous mobile robots often rely on preset environments and fixed workflows, making them not suited for dynamic, complex real world factory operations. Atlas is designed to fundamentally transform the inflexibility of conventional automation solutions. It can adapt flexibly to non standardized tasks much like an experienced worker, thereby enhancing both the adaptability and efficiency of logistics automation.
Project Duration: The project commenced in Shanghai in March 2024, was completed in Shanghai in May 2025, and was exhibited at CeMAT Shanghai 2025.
Operation Flow: Users can issue task commands to Atlas via natural language or a graphical interface. The robot autonomously interprets task intent, plans paths, and executes operations. Throughout, intuitive UI, voice feedback, and status indicators facilitate human robot interaction, enabling deployment and application with zero technical barriers, no specialized programming required.
Team Members: Fan Wu
Image Credits: Fan Wu