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Atlas 智能叉车 by Fan Wu
Atlas 智能叉车 by Fan Wu
Atlas 智能叉车 by Fan Wu
Atlas 智能叉车 by Fan Wu
Atlas 智能叉车 by Fan Wu

银 机器人 · 2026

Atlas 智能叉车

by Fan Wu

  • A' Design Award 银奖 2026 in 机器人
  • CLIENT: Shanghai Seer Intelligent Technology Co., Ltd.
  • Estimated Number of Design Views: 12,942
  • Verification code 62650FD381 · Verify this award
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About Atlas 智能叉车

智能叉车 Atlas 搭载 EmboSense 一体化传感器,实现高精度环境感知与 BEV 空间建模。结合视觉定位建图与多模态推理能力,支持自主路径规划、动态避障及任务自适应优化,可快速适配仓储物流、产线辅助等工业场景。

About the A' Design Award 银奖

Atlas 智能叉车是 A' Design Award 银奖得主,这是授予顶级、华美而令人印象深刻的设计的极为崇高的认可。银奖得主是极其卓越、极具创造力的作品,展现出其设计师杰出的专业技能、才华与敏锐。预计Atlas 智能叉车将成为一件出色的典范之作,兼具非凡的专业性与深刻的创新性。这件赢得 A' Design Award 银奖的设计是一项备受瞩目、令人钦佩的发明,造福并拓展艺术、科学、设计和技术的边界。Atlas 智能叉车是一件令人羡慕的创作,它唤起渴望,带来积极的情感,并激发惊叹与赞叹。

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

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