Siliva Roboti · 2026
Atlas Galimoto ya Forklift Yanzeru
by Fan Wu
- Mphoto ya Siliva ya A' Design Award 2026 in Roboti
- CLIENT: Shanghai Seer Intelligent Technology Co., Ltd.
- Estimated Number of Design Views: 12,942
- Verification code 62650FD381 · Verify this award
Colors
About Atlas Galimoto ya Forklift Yanzeru
Forklift yanzeru ya Atlas imagwiritsa ntchito sensa yophatikizika ya EmboSense kuti izindikire zachilengedwe molondola kwambiri komanso kupanga mtundu wa malo wa BEV. Ikaphatikizidwa ndi luso lozindikira malo mwa kuwona ndi kupanga mamapu komanso luso loganiza mwa njira zosiyanasiyana, imathandizira kukonza njira payokha, kupewa zopinga zosinthasintha, ndi kukonza ntchito mogwirizana ndi zosowa, zomwe zimalola kusintha mwachangu ku malo a mafakitale monga kayendetsedwe ka nkhokwe zosungiramo katundu ndi kuthandiza pa mizere yopangira zinthu.
About the Mphoto ya Siliva ya A' Design Award
Atlas Galimoto ya Forklift Yanzeru ndi mmodzi mwa opambana a Mphoto ya Siliva ya A' Design Award, kuzindikirika kolemekezeka modabwitsa komwe kumaperekedwa kwa mapangidwe a pamwamba, okongola ndi ochititsa chidwi. Opambana a Siliva ndi ntchito zowala kwambiri ndi zolenga kwambiri zomwe zimaonetsa ukatswiri, luso ndi nzeru zakuthwa za opanga awo. Atlas Galimoto ya Forklift Yanzeru akuyembekezeka kukhala ntchito yodabwitsa yoonetsedwa, yaukatswiri wapadera ndi yatsopano kwambiri. Mapangidwe opambana Mphoto ya Siliva ya A' Design Award awa ndi chopangidwa chodziwika kwambiri ndi choyamikiridwa chomwe chimapindulitsa ndi kukulitsa malire a luso, sayansi, kapangidwe ndi ukadaulo. Atlas Galimoto ya Forklift Yanzeru ndi cholengedwa chomwe anthu ambiri amachichitira nsanje, chomwe chimadzutsa zilakolako, kubweretsa maganizo abwino ndi kuyatsa kudabwa ndi chidwi.
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