Brightpick has introduced an advanced autonomous mobile robot (AMR) named Autopicker, aiming to optimize e-commerce fulfillment processes. This Cincinnati-based company’s innovation integrates a mobile platform, robotic arm, machine vision, and artificial intelligence to streamline order picking in warehouse aisles. The Autopicker’s patented dual-tote design allows for efficient retrieval and consolidation of items, reducing manual labor and travel time for warehouse associates. The system’s proprietary 3D vision and algorithms have been trained with over 500 million picks, leveraging machine learning to enhance efficiency over time.
AI-Driven Efficiency
Autopicker can manage a wide array of products, including cosmetics, pharmaceuticals, e-grocery items, electronics, polybagged apparel, and spare parts. Brightpick’s co-founder and CEO, Jan Zizka, highlighted the significant advancements in AI that have enabled machine learning to generalize to unseen items, stating,
“On the AI side, this was not possible five to six years ago. The serious breakthroughs enable machine learning to generalize to unseen items.”
This technological leap allows the robot to adapt to various items, enhancing its versatility and utility in dynamic warehouse environments.
Flexible Deployment
Designed to work with standard shelving systems, Autopicker can be deployed in less than a month and supports easy reconfiguration of warehouse storage. It also offers a goods-to-person option for picking heavy or complex items, raising bins to waist height for ergonomic access. Additionally, the system supports multiple functions such as pallet picking, replenishment, dynamic slotting, buffering, and dispatching, with a storage capacity of up to 50,000 stock-keeping units (SKUs).
The previous year saw Brightpick secure additional funding and deploy Autopicker at companies like Netrush and Rohlik Group. Available for direct purchase or through a robotics-as-a-service (RaaS) model, Autopicker represents a flexible and scalable solution for modern warehouses. Comparing this to past advancements in warehouse automation, Brightpick’s integration of AI and machine learning signifies a notable improvement in efficiency and adaptability.
Overall, Brightpick’s Autopicker offers a comprehensive solution for e-commerce fulfillment, significantly reducing manual labor and increasing efficiency through advanced AI and machine learning technologies. Its quick deployment and adaptable design make it a viable option for various warehouse operations. As the landscape of warehouse automation evolves, innovations like Autopicker are likely to play a pivotal role in shaping the future of logistics and supply chain management. This system’s ability to handle diverse products and its ergonomic design could potentially set new standards in the industry.
