Atlas Akıllı Forklift by Fan Wu is a highly esteemed winner of the very prestigious 2026 A' Design Award Gümüş Ödülü in Robotik, Otomat ve Otomasyon Tasarımı Competition Category.
GümüşRobotik· 2026
Atlas Akıllı Forklift
by Fan Wu
Client: Shanghai Seer Intelligent Technology Co., Ltd.
A' Design Award Gümüş Ödülü Winner in Robotik Category
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The Design
About Atlas Akıllı Forklift
Akıllı forklift Atlas, EmboSense entegre sensöründen yararlanarak yüksek hassasiyetli çevresel algılama ve BEV (kuş bakışı görünüm) uzamsal modelleme gerçekleştirir. Görsel konumlandırma ve haritalama ile çok modlu çıkarım yetenekleriyle birleştiğinde otonom güzergâh planlaması, dinamik engel atlatma ve göreve uyarlanabilir optimizasyonu destekler; böylece depo lojistiği ve üretim hattı desteği gibi endüstriyel senaryolara hızla uyum sağlar.
The Recognition
About the A' Design Award Gümüş Ödülü
Atlas Akıllı Forklift, A' Design Award Gümüş Ödülü kazananıdır; bu, göz alıcı, yüce ve etkileyici birinci sınıf tasarımlara verilen olağanüstü prestijli bir tanınırlıktır. Gümüş kazananlar, tasarımcılarının olağanüstü uzmanlığını, yeteneğini ve keskin zekasını gösteren son derece parlak ve çok yaratıcı eserlerdir. Atlas Akıllı Forklift, harika, örnek gösterilen, dikkat çekici derecede profesyonel ve derinlemesine yenilikçi bir eser olması beklenir. A' Design Award Gümüş Ödülü kazanan bu tasarım, sanat, bilim, tasarım ve teknolojinin sınırlarına fayda sağlayan ve onları ilerleten oldukça dikkat çekici, beğenilen bir buluştur. Atlas Akıllı Forklift, büyük kıskançlıkla bakılan, arzuları uyandıran, olumlu duygular getiren ve şaşkınlık ve hayranlık uyandıran bir yaratımdır.
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
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