Atlas Tryc Fforch Godi Deallus by Fan Wu

Arian Roboteg · 2026

Atlas Tryc Fforch Godi Deallus

by Fan Wu

Gwobr Arian A' Design Award 2026 in Roboteg
CLIENT: Shanghai Seer Intelligent Technology Co., Ltd.
Estimated Number of Design Views: 12,942
Verification code 62650FD381 · Verify this award

View at A' Design Award Press Release

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About Atlas Tryc Fforch Godi Deallus

Mae'r fforch godi glyfar Atlas yn defnyddio'r synhwyrydd integredig EmboSense i gyflawni canfyddiad amgylcheddol manwl iawn a modelu gofodol BEV. Ynghyd â mapio lleoliad gweledol a galluoedd rhesymu amlfodd, mae'n cefnogi cynllunio llwybrau ymreolaethol, osgoi rhwystrau dynamig, ac optimeiddio addasol i dasgau, gan ganiatáu addasu cyflym i senarios diwydiannol megis logisteg warysau a chymorth llinellau cynhyrchu.

About the Gwobr Arian A' Design Award

Mae Atlas Tryc Fforch Godi Deallus yn enillydd Gwobr Arian A' Design Award, cydnabyddiaeth hynod fawreddog a roddir i ddyluniadau o'r radd uchaf, hardd a thrawiadol. Mae enillwyr Arian yn weithiau tra disglair a hynod greadigol sydd yn darlunio arbenigedd, dawn a chraffter rhagorol eu dylunwyr. Disgwylir i Atlas Tryc Fforch Godi Deallus fod yn waith gwych ac esiampl, yn nodedig o broffesiynol ac yn ddwfn arloesol. Mae'r dyluniad buddugol hwn o Wobr Arian A' Design Award yn ddyfais hynod nodedig a edmygir sydd yn elwa ac yn symud ymlaen ffiniau celf, gwyddoniaeth, dylunio a thechnoleg. Mae Atlas Tryc Fforch Godi Deallus yn greadigaeth y cenfigennir wrthi yn eang, sydd yn deffro dyheadau, yn cyflwyno teimladau cadarnhaol ac yn cynnau rhyfeddod a syndod.

Press Kit

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.
Image Credits: Fan Wu