Sirivha Robhotiki · 2026
Atlas Forklift Truck Ine Njere
by Fan Wu
- Mubairo weSirivha we A' Design Award 2026 in Robhotiki
- CLIENT: Shanghai Seer Intelligent Technology Co., Ltd.
- Estimated Number of Design Views: 12,942
- Verification code 62650FD381 · Verify this award
Colors
About Atlas Forklift Truck Ine Njere
Forklift ine njere yeAtlas inoshandisa sensor yakabatanidzwa yeEmboSense kuti iwane kunzwisisa kwenharaunda kwakadzama uye kugadzira mifananidzo yenzvimbo yeBEV. Ichibatanidzwa nekugadzira mepu yekuona nzvimbo uye masimba ekufunga nenzira dzakawanda, inotsigira kuronga nzira yega, kunzvenga zvipingamupinyi zvinofamba, uye kugadziridza mabasa zvichienderana nemamiriro ezvinhu, izvo zvinoita kuti ikurumidze kuchinjika kumamiriro ezvinhu emuindasitiri akadai sekufambiswa kwezvinhu mumatura uye kubatsira pamitsara yekugadzira.
About the Mubairo weSirivha we A' Design Award
Mubairo weSirivha we A' Design Award wakahwinwa ne Atlas Forklift Truck Ine Njere, rukudzo rwakakwirira zvikuru runopiwa kumadhizaini epamusoro, anonaka uye anofadza. Vakunda veSirivha mabasa anopenya kwazvo uye ane kugadzira kwakasiyana anoratidza unyanzvi, hunyanzvi hwekusikwa nekungwara kwevagadziri vawo. Atlas Forklift Truck Ine Njere inotarisirwa kuva basa rinoshamisa, rinotangira vamwe, rine hunyanzvi hunoonekwa uye zvitsva zvakadzika. Dhizaini iyi yakahwina Mubairo weSirivha we A' Design Award chigadzirwa chinoshamisa, chinokudzwa chinobatsira uye chinosundira mberi miganhu yehunyanzvi, sayenzi, dhizaini netekinoroji. Atlas Forklift Truck Ine Njere chigadzirwa chinoshuvirwa nevazhinji, chinomutsa zvishuvo, chinouya nemanzwiro akanaka uye chinomutsa kushamisika.
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
