Airgead Róbataic · 2026
Atlas Trucail Ardaithe Chliste
by Fan Wu
- Duais Airgid A' Design Award 2026 in Róbataic
- CLIENT: Shanghai Seer Intelligent Technology Co., Ltd.
- Estimated Number of Design Views: 12,942
- Verification code 62650FD381 · Verify this award
Colors
About Atlas Trucail Ardaithe Chliste
Baineann an trucail ardaithe chliste Atlas leas as an mbraiteoir comhtháite EmboSense chun aireachtáil timpeallachta ardbheachtais agus samhaltú spásúil BEV a bhaint amach. In éineacht le mapáil logánaithe amhairc agus cumais réasúnaíochta ilmhódaí, tacaíonn sé le pleanáil chonaire uathrialach, seachaint dhinimiciúil constaicí, agus optamú oiriúnaitheach tascanna, rud a cheadaíonn oiriúnú tapa do chásanna tionsclaíocha amhail lóistíocht stórais agus cúnamh ar an líne táirgeachta.
About the Duais Airgid A' Design Award
Bhuaigh an dearadh Atlas Trucail Ardaithe Chliste Duais Airgid A' Design Award, aitheantas an-ghradamach a bhronntar ar dhearaí ardchaighdeáin, álainn agus drámatach. Is saothair thar a bheith drithleacha agus an-chruthaitheach iad buaiteoirí Airgid a léiríonn saineolas, tallann agus géarchúis shármhaith a ndearthóirí. Táthar ag súil go mbeidh an dearadh Atlas Trucail Ardaithe Chliste ina shaothar iontach, ina léiriú sampla, thar a bheith gairmiúil agus go domhain nuálach. Is aireagán an-suntasach, ionadmhuirthe é an dearadh seo a bhuaigh Duais Airgid A' Design Award a dhéanann leas do theorainneacha na healaíne, na heolaíochta, an deartha agus na teicneolaíochta agus a chuireann chun cinn iad. Is cruthú é an dearadh Atlas Trucail Ardaithe Chliste a bhfuil formad mór leis, a mhúsclaíonn mianta, a thugann mothúcháin dhearfacha agus a adhnann iontas agus ionadh.
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
