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Alexei Filippov, the Head of Global Business Development at Yango Robotics, says put wall systems, which are designed for order consolidation and sorting, are benefiting greatly from AI integration
Can you describe how AI-powered robotics are currently being implemented in warehouse operations and the supply chain?
AI-powered robotics are revolutionising warehouse operations, particularly in put wall systems and piece-picking solutions, driving efficiency and accuracy across the supply chain. Put wall systems, which are designed for order consolidation and sorting, are benefiting greatly from AI integration.
With the use of advanced robotics, these systems can now sort items into specific bins with greater accuracy, significantly reducing human error. The speed of item handling is also greatly improved, allowing for faster order fulfilment and quicker turnaround times.
How does automation contribute to increased productivity in warehouse operations?
Automation transforms warehouse productivity by streamlining critical processes such as piece-picking and put-wall operations. AI-powered robots handle tasks with unmatched speed and precision, ensuring faster order fulfilment and reducing errors. In piece-picking, robots can identify and retrieve items of various shapes and sizes efficiently, while put wall systems automate sorting and consolidation, eliminating bottlenecks and optimising workflow.
In what ways do AI-powered robots improve safety for warehouse workers?
AI-powered robots enhance safety by taking over tasks that are physically taxing or hazardous for workers. In piece-picking, robots eliminate repetitive strain injuries caused by continuous reaching and lifting, while automated put wall systems reduce the risk of accidents in high-traffic sorting areas.
What challenges do companies face in deploying robotic solutions across different industries, and how can they overcome them?
Deploying robotic solutions like piece-picking and put-wall systems poses challenges such as integration complexities, and the need for tailored solutions to fit diverse industry requirements. Integration complexities arise due to legacy infrastructure, requiring companies to ensure communication between new systems and existing workflows.
High upfront costs can be a barrier too, as robotics systems can cost up to $150,000, excluding installation and training expenses. To address these challenges, industries should tap into experienced providers of AI-powered robotics solutions to simplify deployment and ensure smooth compatibility with existing systems.
What are the emerging trends in AI and robotics that you believe will shape the future of the industry?
Emerging trends include the evolution of AI to enhance decision-making in real-time, improving picking accuracy and efficiency in robotic systems. AI-powered computer vision technology is also helping robots better understand and adapt to complex tasks, reducing errors in sorting and piece-picking. Robots are also getting smarter with machine learning, allowing them to improve their performance over time by learning from data.
How is Yango Robotics staying ahead of these trends to remain competitive?
The company’s solutions are designed to integrate seamlessly with existing warehouse management systems, ensuring enhanced efficiency and cost-effectiveness. Yango Robotics is also exploring innovations such as advanced AI for precision picking and sorting, as well as scalable systems for diverse industries.
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