
精灵G1 MAX
Flexible Manufacturing Expert, Delivering One-Stop Solutions Dual-Arm Collaboration, Full-Range Accessibility Bionic seven-degree-of-freedom dual arms support both parallel and asynchronous operations, enabling mid-air handoff and object transfer to easily handle complex workpieces and special pose operations. Equipped with four-wheel drive, zero turning radius, and crab-walk movement. The waist supports lifting and pitching, with 22 degrees of freedom covering the full range of human workspaces. Efficient Deployment, Flexible Operations Integrated chassis, robotic arms, and perception system design enables deployment and commissioning within days. Powered by embodied AI foundational capabilities such as UniGrasp, Uni6DPose, and UniPlug, along with 275T computing power, the system achieves millisecond-level real-time object recognition, pose estimation, and operational decision-making, dynamically adapting to flexible working environments. Through 3D model synthetic training and reinforcement learning, switching operation objects can be shortened to as little as a few hours. Model Evolution, Continuous Advancement Modularized atomic capability design supports OTA iterative upgrades; the operational skill library continuously expands and becomes richer over time. Embodied AI algorithms continuously optimize through data collection and training, becoming smarter and more efficient with use. Integrated data collection, training, and inference architecture supports efficient data acquisition, simulation training, and deployment. Multi-Modal Perception, Reliable Safety Fusion perception with 360° LiDAR, four AI vision sensors, and two six-axis force sensors enables millisecond-level perception and intelligent obstacle avoidance. Arm collision detection systems, real-time 360° environmental awareness, and redundant perception-control safety mechanisms ensure personnel and environmental safety. Long-Endurance Operation, Minimal Maintenance Supports hot-swappable battery replacement with minute-level recharging time and autonomous charging to reduce manual intervention. Built-in real-time task self-diagnosis and self-recovery mechanisms minimize unplanned downtime and maintenance costs.
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