نقرہ روبوٹکس · 2026
Atlas هوشمند فورکلفٹ ٹرک
by Fan Wu
- A' Design Award نقرئی انعام 2026 in روبوٹکس
- CLIENT: Shanghai Seer Intelligent Technology Co., Ltd.
- Estimated Number of Design Views: 12,942
- Verification code 62650FD381 · Verify this award
Colors
About Atlas هوشمند فورکلفٹ ٹرک
هوشمند فورکلفٹ اٹلس، EmboSense ءِ یکجاه سنسر ءَ کارمرز کن ات تاں چاگردی سرپدی ءَ باز ٹھیک ءُ BEV ءِ فضائی ماڈل جوڑ کنگ ءَ سر بہ بیت۔ گندگی جاه زانگ ءِ نقشہ جوڑی ءُ چہ باز ڈولی هُش ءُ فکر ءِ توانی گوں یکجاه بہ بیت، اے وتی راه ءِ منصوبہ بندی، جنبشی مانگ ءَ چہ دور بیگ ءُ کار ءِ خودکار بہتری ءَ کمک کنت، کہ اِشیا صنعتی حالتاں پہ مثال گدام ءِ لاجسٹک ءُ پیداوار ءِ لائن ءِ کمک ءَ زوت ھور بیگ ءِ توان دنت۔
About the A' Design Award نقرئی انعام
Atlas هوشمند فورکلفٹ ٹرک A' Design Award نقرئی انعام ءِ ورگ آ انت، غیر معمولی حد ءَ معزز اعتراف کہ اعلیٰ ترین درجہ ءِ، شاندار ءُ متاثر کنوکیں ڈیزائناں دیگ بیت۔ نقرہ ءِ ورگ آ باز روشن ءُ انتہائی تخلیقی کار انت، کہ وتی ڈیزائنراں ءِ شاندار مہارت، صلاحیت ءُ ذہانت ءَ ظاہر کننت۔ Atlas هوشمند فورکلفٹ ٹرک چہ امید کنگ بیت کہ آ یک شاندار نمائشی کار بیت، قابل ذکر حد ءَ پیشہ ورانہ ءُ گہرے جدت ءِ۔ ای ڈیزائن کہ A' Design Award نقرئی انعام ءَ برتگ، یک انتہائی قابل ذکر، ساراہگ بوتگیں ایجاد انت کہ فائدہ دنت ءُ فن، سائنس، ڈیزائن ءُ ٹیکنالوجی ءِ حداں ودی کنت۔ Atlas هوشمند فورکلفٹ ٹرک یک ہمے تخلیق انت کہ آیانی سرا باز مردم حسد کننت، کہ خواہشاں جاگینیت، مثبت جذبہ آرنت ءُ حیرت ءُ تعجب ءِ چنگاری ءَ بالنت۔
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