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Geek+ (极智嘉), the Beijing-based warehouse-robotics company, unveiled its "24/7 Autonomous Smart Warehouse" plan on Nov 3, targeting facilities that run autonomously around the clock and improve through continuous learning. The three-stage plan: embodied AI takes over complex tasks such as picking; an AI "warehouse brain" unifies robot scheduling (RMS), workflow execution (WES) and operations analytics (IOP), plus three agents for monitoring, diagnosis and configuration; then scaled global rollout. Geek+ claims seven consecutive years as global AMR market-share leader with 81,000+ robots deployed across 40+ countries and 1,000+ clients. Its humanoid Gino 1 already picks and moves boxes alongside AMRs; at a Schneider Electric Shanghai logistics-center pilot, an unmanned picking workstation reached 2× human efficiency with >99.99% accuracy (company-claimed).
Why it matters: Competition is shifting from single-robot demos to whole-facility autonomy. A vendor with 81,000+ deployed AMRs integrating a humanoid into fleet operations points to humanoids entering real workflows as one component among many — with operational data as the moat.
Sources: qbitai.com
Kinetix AI (超维动力), a full-stack embodied-AI company founded in July 2025 (~200 staff, 80%+ researchers), presented its full hardware lineup at Hong Kong Fintech Week. Headliners: the SMASH ping-pong humanoid system, upgraded to handle spin shots and full-table coverage (company says nearing professional-player level); KAIBot, billed as the world's highest-DoF humanoid at 117 degrees of freedom, 173 cm and 70 kg, with tactile skin covering 80% of the body (18,000 sensing points, 0.1 N resolution); the 37-DoF KAI Hand with 30 N+ fingertip grip and replaceable fingers; and the ~300 g KAI Halo first-person data-collection headband with four cameras and IMU. Co-founder and CEO Yu Jie defended the full-stack approach on a panel; a Hong Kong commerce undersecretary visited the booth. Article company-provided.
Why it matters: Full-stack bets keep multiplying in China; tactile skin and first-person data-collection hardware target the sector's data bottleneck. All performance claims here are company-provided and unverified by third parties.
Sources: qbitai.com
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