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China Post is using AI robots to sort parcels, achieving 1,200 packages per hour and 6.5 million parcels per day at the Guangzhou center, demonstrating the growing real-world application of warehouse robots.
Figure AI's F.03 humanoid robots, powered by Helix-02 neural network, autonomously sorted 249,560 packages over 200 hours without hardware failure, approaching human-level efficiency.
Figure AI announces that their humanoid robots have accumulated 200 hours of operation handling packages, a milestone in real-world deployment.
Researchers from MIT and Symbotic developed a deep reinforcement learning system that optimizes robot traffic in autonomous warehouses, achieving a 25% throughput gain over existing methods by dynamically prioritizing robots to avoid congestion.