Argint Robotică · 2026
Atlas Stivuitor Inteligent
by Fan Wu
- A' Design Award de Argint 2026 in Robotică
- CLIENT: Shanghai Seer Intelligent Technology Co., Ltd.
- Estimated Number of Design Views: 12,942
- Verification code 62650FD381 · Verify this award
Colors
About Atlas Stivuitor Inteligent
Stivuitorul inteligent Atlas utilizează senzorul integrat EmboSense pentru a obține o percepție de înaltă precizie a mediului și modelare spațială BEV. Combinat cu maparea prin localizare vizuală și capacitățile de raționament multimodal, acesta susține planificarea autonomă a traseului, evitarea dinamică a obstacolelor și optimizarea adaptivă a sarcinilor, permițând adaptarea rapidă la scenarii industriale precum logistica de depozit și asistența pe liniile de producție.
About the A' Design Award de Argint
Atlas Stivuitor Inteligent a câștigat A' Design Award de Argint, o recunoaștere extraordinar de prestigioasă acordată designurilor de top, superbe și impresionante. Câștigătorii Argintului sunt lucrări extraordinar de strălucite și extrem de creative, care ilustrează expertiza, talentul și perspicacitatea remarcabile ale designerilor lor. Se așteaptă ca Atlas Stivuitor Inteligent să fie o lucrare minunată, de referință, remarcabil de profesionistă și profund inovatoare. Acest design câștigător al A' Design Award de Argint este o invenție foarte notabilă și admirată, care aduce beneficii și împinge limitele artei, științei, designului și tehnologiei. Atlas Stivuitor Inteligent este o creație extrem de invidiată, care trezește dorințe, aduce sentimente pozitive și stârnește uimire și mirare.
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
