Beijing, China – May 19th, 2026 – Geek+ | Robotics Solutions for Warehouse & Logistics Automation (HKEX: 2590.HK), a global leader in mobile robotics technologies, today announced that its Robot Arm Picking Station has won the 2026 RBR50 Innovation Award for its successful deployment at Schneider Electric’s Shanghai warehouse.
RBR50 Gala | Robotics Summit & Expo, presented by The Robot Report, annually recognizes the 50 most innovative companies in global robotics. This marks the fifth time that Geek+ has won this award, standing alongside global tech giants like ABB, Amazon, Boston Dynamics and Nvidia at the forefront of innovation.
Embodied intelligence solution deployed at Schneider Electric Shanghai warehouse doubles picking efficiency, achieves 99.99%+ accuracy, and goes live within 48 hours
The Robot Arm Picking Station was highly praised by the judging panel:
“Geek+’ Robot Arm Picking Station strengthens an already robust goods-to-person (G2P) portfolio by automating the most difficult step in warehouse workflows: item picking. While Geek+’ AMRs and storage systems have long optimized transport and storage, this new robotic arm closes the loop by replacing manual picking with a fully integrated, intelligent solution. By embedding robotic picking into its ecosystem, Geek+ moves closer to fully autonomous, end-to-end warehouse operations.”
The Challenge: Automating Picking Across Massive SKU Catalogues
While autonomous mobile robots (AMRs) have transformed warehouse storage and transport, the picking process itself has remained stubbornly manual. Rapidly changing SKU catalogues, diverse product forms, and high training costs for conventional vision models have made automated picking one of the last major bottlenecks in warehouse automation.
The Solution: Geek+ Robot Arm Picking Station
The Robot Arm Picking Station addresses this challenge by combining Geek+’ self-developed embodied intelligence foundation model, Geek+ Brain, with zero-shot learning technology. This enables robotic arms to accurately pick across large-scale SKU catalogues without per-item training, and to integrate seamlessly with existing AMR infrastructure for end-to-end unmanned picking.
Note: Highlights of Geek+ Robot Arm Picking Station
Pilot Project
Building on an existing partnership, Geek+ deployed the Robot Arm Picking Station at Schneider’s Shanghai warehouse. Key results:
|
Metric |
Manual Picking |
Robot Arm Picking Station |
|
Efficiency |
150–300 pieces/hour (variable) |
2x manual throughput |
|
Accuracy |
Prone to mispicks and omissions |
≥99.99% (100% in testing) |
|
SKU Adaptation |
Requires retraining per SKU |
Zero-shot learning; no retraining |
|
Deployment |
- |
Production-ready within 48 hours |
|
Data Security |
- |
On-premise; data stays on-site |
The system was production-ready within 48 hours of deployment, validating its out-of-the-box capability. Pre-trained on large-scale real-world data via Geek+ Brain, the picking station requires no secondary training and dynamically adapts to business fluctuations and packaging changes.
Geek+’ unified All-in-One software architecture enabled seamless integration with Schneider Electric Shanghai warehouse’s existing network and production processes.
The Continuous Innovation
The successful deployment establishes a replicable model for embodied intelligence in industrial warehousing and represents a significant step toward fully unmanned warehouse operations. Geek+ intends to expand the solution’s application across additional industries and use cases.