Atlas Интелигентен мотокар by Fan Wu is a highly esteemed winner of the very prestigious 2026 Сребърна награда A' Design Award in Дизайн на роботика, автомати и автоматизация Competition Category.

СреброРоботика· 2026

Atlas Интелигентен мотокар

by Fan Wu

Client: Shanghai Seer Intelligent Technology Co., Ltd.

Сребърна награда A' Design Award Winner in Роботика Category

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Verified Award Winner

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View at A' Design Award Press Release Award Badge

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The Design

About Atlas Интелигентен мотокар

Интелигентният мотокар Atlas използва интегрирания сензор EmboSense за постигане на високопрецизно възприемане на околната среда и BEV пространствено моделиране. В комбинация с визуална локализация и картографиране, както и мултимодални способности за разсъждение, той поддържа автономно планиране на маршрути, динамично избягване на препятствия и адаптивна оптимизация на задачите, което позволява бърза адаптация към индустриални сценарии като складова логистика и подпомагане на производствени линии.

The Recognition

About the Сребърна награда A' Design Award

Atlas Интелигентен мотокар е носител на Сребърната награда A' Design Award — извънредно престижно признание, присъждано на дизайни от най-висока класа, великолепни и впечатляващи. Сребърните победители са изключително блестящи и крайно творчески творби, които илюстрират изключителната компетентност, талант и проницателност на своите дизайнери. Очаква се Atlas Интелигентен мотокар да бъде прекрасна, показна творба, забележително професионална и дълбоко иновативна. Този дизайн, спечелил Сребърната награда A' Design Award, е високо забележимо, възхищавано изобретение, което е от полза и разширява границите на изкуството, науката, дизайна и технологиите. Atlas Интелигентен мотокар е творение, на което мнозина завиждат, което събужда желания, внася положителни чувства и разпалва изумление и възхита.

Behind the Design

Press Kit

Credits, team members and technical details provided by the designer.

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.
Team Members: Fan Wu
Image Credits: Fan Wu