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Fan Wu 嘅作品 Atlas 智能叉車

由設計師 Fan Wu 創作嘅 Atlas 智能叉車 係備受推崇嘅 2026 A' Design Award 銀獎 得獎作品,獲獎類別為 機械人設計。


銀機械人· 2026

Atlas 智能叉車

由 Fan Wu

客戶: Shanghai Seer Intelligent Technology Co., Ltd.

機械人 類別嘅 A' Design Award 銀獎 得獎者

12,942

色彩

設計

關於 Atlas 智能叉車

智能叉車Atlas運用EmboSense一體化感應器,實現高精度環境感知同BEV空間建模。配合視覺定位建圖同多模態推理能力,支援自主路徑規劃、動態避障同任務自適應優化,能夠快速適應倉儲物流、生產線輔助等工業場景。

榮譽認可

關於A' Design Award 銀獎

Atlas 智能叉車是 A' Design Award 銀獎得主,這是授予頂級、華美而令人印象深刻的設計的極為崇高的認可。銀獎得主是極其卓越、極具創造力的作品,展現出其設計師傑出的專業技能、才華與敏銳。預計Atlas 智能叉車將成為一件出色的典範之作,兼具非凡的專業性與深刻的創新性。這件贏得 A' Design Award 銀獎的設計是一項備受矚目、令人欽佩的發明,造福並拓展藝術、科學、設計和技術的界限。Atlas 智能叉車是一件令人羨慕的創作,它喚起渴望,帶來積極的情感,並激發驚嘆與讚嘆。

設計背後

新聞資料包

由設計師提供嘅製作人員名單、團隊成員同技術詳情。

獨特屬性
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.
尺寸同包裝
1206 mm x 1542 mm x 1727 mm
標籤
Smart Forklift, BEV Perception, AI Agent Autonomous Planning, Flexible Logistics, Natural Interaction, End to End Execution, Modular Deployment, Warehouse Automation
生產技術
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.
設計挑戰
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.
研究
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.
靈感
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.
項目時長
The project commenced in Shanghai in March 2024, was completed in Shanghai in May 2025, and was exhibited at CeMAT Shanghai 2025.
操作流程
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.
團隊成員
Fan Wu
圖片來源
Fan Wu

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