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JD.com 發表「狼群」機器人矩陣
💡了解大型電商巨頭如何將具身智慧擴展至整個物流供應鏈。
⚡ 30-Second TL;DR
有什麼變化
涵蓋空中、地面與倉儲物流的全面機器人矩陣
為什麼重要
這標誌著大型電子商務正向全自動化物流基礎設施轉型。其對員工留任的承諾，為科技巨頭如何處理具身智慧帶來的社會影響樹立了先例。
下一步行動
分析 JD 機器人車隊的整合協議，以了解如何在倉儲環境中編排多代理系統。
誰應關注：Enterprise & Security Teams
關鍵要點
- •涵蓋空中、地面與倉儲物流的全面機器人矩陣
- •於 2026 世界智能產業博覽會正式亮相
- •創辦人劉強東承諾不因自動化而裁員
🧠 深度解析
Web-grounded analysis with 7 cited sources.
🔑 增強重點摘要
- •The 'Wolf Pack' robot matrix comprises specialized units including the Dúláng (Lone Wolf) sixth-generation smart delivery vehicle Plus, a VAN autonomous light truck with L4 autonomy, the Zhìláng (Wisdom Wolf) goods-to-person system, and Fēiláng (Flying Wolf) drones (JDX20 and JDX50 models) for diverse delivery needs.
- •JD.com has initiated a 'Robot Industry Service Panorama' strategy, aiming to facilitate robot brands in achieving over 10 billion yuan in cumulative sales within the current year.
- •To mitigate job displacement from automation, JD.com has established more than 80 'robobase' training centers across China, retraining blue-collar workers for advanced technical roles such as robot maintenance and repair, as part of its 'Phoenix Project.'
- •The company employs a 'verify internally before market launch' strategy, deploying robots within its own logistics network first to allow frontline workers valuable time for skills transition before commercial release.
- •Founder Liu Qiangdong's pledge against automation-driven layoffs follows recent Chinese court rulings in early 2026 that prohibit companies from terminating employees or reducing salaries solely for replacement by AI systems, alongside new government-formalized gig-worker protections.
🛠️ 技術深入
- Dúláng (Lone Wolf) sixth-generation smart delivery vehicle Plus: Features a 5.5-cubic-meter cargo capacity, a one-ton payload, and utilizes next-gen autonomous driving algorithms.
- VAN autonomous light truck: Achieves L4 autonomy and offers 24 cubic meters of cargo space.
- Zhìláng (Wisdom Wolf) goods-to-person system: Demonstrates four times the efficiency of traditional equipment with a 99.99% picking accuracy in commercial deployment.
- Fēiláng (Flying Wolf) drones: Includes JDX20 and JDX50 models, designed for both urban instant delivery and transportation in remote mountain areas.
- Super Brain AI Large Model: Serves as the intelligent dispatching system, enabling interconnection and collaborative operation among the 'Wolf Series' robots across the entire logistics chain.
- Smart Wolf Extended Version: Equipped with an innovative clamping fork that automatically adjusts clamping force and adapts to various box types within a 12-meter three-dimensional space.
- Sirius Four-Way Vehicle (Tianlang four-way vehicle system): Integrates lidar and supports four-dimensional movement (front, back, left, right), allowing goods transfer without lane switching. Its modular, plug-and-play design can improve storage efficiency by 240% and reduce warehouse workers by 58%.
- Automatic Distribution Wall (End-to-End Version): Features a three-dimensional layered design for order sorting, reverse sorting, and small item packaging, achieving a sorting efficiency of up to 15,200 items per hour and a 200% increase in area efficiency compared to traditional sorting equipment.
- Smart Wolf Standard Edition: Composed of 'handling robots + flying ladder robots,' optimized for mid-to-high-rise warehouses up to 12 meters.
- Smart Wolf Shuttle: Designed for ultra-high vertical warehouses up to 30 meters, significantly improving space utilization and inbound/outbound efficiency through cooperation with hoists.
- Asia No.1 Smart Warehouses: Utilize digital twin technology for optimal equipment configuration and system management.
🔮 前景展望AI analysis grounded in cited sources
JD.com's integrated 'Wolf Pack' system will establish a new benchmark for comprehensive, end-to-end logistics automation.
By combining aerial, ground, and warehouse robotics with advanced AI orchestration and a strategy of internal validation, JD.com is demonstrating a holistic and proven solution that will likely pressure competitors to develop similar integrated capabilities.
JD.com's proactive worker retraining initiatives will influence other major Chinese employers to adopt similar strategies for managing automation-driven job transitions.
Given the Chinese government's emphasis on labor market stability and recent legal precedents against AI-related layoffs, JD.com's 'Phoenix Project' and 'robobase' training centers offer a scalable model for addressing the social impact of increasing automation.
⏳ 時間線
1998-06
Liu Qiangdong founds Jingdong in Zhongguancun, Beijing.
2007
JD.com establishes its in-house logistics department.
2017-06
JD.com conducts a global first trial of robot package delivery using a simple driverless car.
2018-01
JD.com launches its fully unmanned 'Asia No.1' warehouse in Shanghai, handling 200,000 orders daily with minimal human staff.
2025-10
JD Logistics launches new 'Wolf Series' robots at the Asian International Logistics Technology and Transportation Systems Exhibition, announcing large-scale deployment.
2026-05
Founder Liu Qiangdong pledges no layoffs due to automation; JD.com unveils 'Wolf Pack' robot matrix at the 2026 World Intelligent Industry Expo.
📎 來源 (7)
Factual claims are grounded in the sources below. Forward-looking analysis is AI-generated interpretation.
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原始來源： Pandaily ↗