Atlas ذهين فورڪ لفٽ ٽرڪ by Fan Wu is a highly esteemed winner of the very prestigious 2026 A' Design Award چاندي انعام in روبوٽڪس، آٽوميٽن ۽ آٽوميشن ڊيزائن Competition Category.

چانديروبوٽڪس· 2026

Atlas ذهين فورڪ لفٽ ٽرڪ

by Fan Wu

Client: Shanghai Seer Intelligent Technology Co., Ltd.

A' Design Award چاندي انعام Winner in روبوٽڪس Category

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View at A' Design Award Press Release Award Badge

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The Design

About Atlas ذهين فورڪ لفٽ ٽرڪ

سمارٽ فورڪ لفٽ ائٽلس EmboSense انٽيگريٽيڊ سينسر کي استعمال ڪندي اعليٰ درستگي واري ماحولياتي ادراڪ ۽ BEV اسپيشل ماڊلنگ حاصل ڪري ٿي. بصري لوڪلائيزيشن ميپنگ ۽ ملٽي موڊل استدلال جي صلاحيتن سان گڏجي، اها خودمختيار رستي جي رٿابندي، متحرڪ رڪاوٽن کان بچاءُ ۽ ڪم جي موافق بهتري جي مدد ڪري ٿي، جنهن سان گودام جي لاجسٽڪس ۽ پيداواري لائين جي مدد جهڙن صنعتي منظرنامن سان تيزيءَ سان ٺهڪي اچڻ ممڪن ٿئي ٿو.

The Recognition

About the A' Design Award چاندي انعام

Atlas ذهين فورڪ لفٽ ٽرڪ A' Design Award چاندي انعام جو کٽيندڙ آهي، غير معمولي حد تائين معزز اعتراف جيڪو اعليٰ ترين درجي جي، شاندار ۽ متاثر ڪندڙ ڊيزائنن کي ڏنو وڃي ٿو. چاندي جا کٽيندڙ تمام گهڻا روشن ۽ انتهائي تخليقي ڪم آهن، جيڪي پنهنجي ڊيزائنرن جي شاندار مهارت، صلاحيت ۽ ذڪاوت کي ظاهر ڪن ٿا. Atlas ذهين فورڪ لفٽ ٽرڪ کان اميد ڪئي وڃي ٿي ته اهو هڪ شاندار نمائشي ڪم هوندو، قابل ذڪر حد تائين پيشه ورانه ۽ ڳوڙهي جدت وارو. هي ڊيزائن جنهن A' Design Award چاندي انعام کٽيو آهي، هڪ انتهائي قابل ذڪر، ساراهيل ايجاد آهي جيڪا فائدو ڏئي ٿي ۽ فن، سائنس، ڊيزائن ۽ ٽيڪنالاجي جون حدون وڌائي ٿي. Atlas ذهين فورڪ لفٽ ٽرڪ هڪ اهڙي تخليق آهي جنهن تي گهڻا حسد ڪن ٿا، جيڪا خواهشون جاڳائي ٿي، مثبت جذبا آڻي ٿي ۽ حيرت ۽ تعجب جي چڻنگ ٻاري ٿي.

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