How AI/ML and Simulation are Transforming Robotic Order Fulfillment and Warehouse Automation

Event Time

Originally Aired - Tuesday, March 18 11:30 AM - 12:15 PM

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Event Location

Location: Robotics Theater


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Event Information

Type: On-Floor Seminars

Description:

For a variety of reasons, including labor shortages in many markets, interest in warehouse robotics remains very high. 

Companies now have a wide and growing array of hardware choices, including Autonomous Mobile Robots (AMRs), various goods-to-person and dense storage systems, robotic picking arms, and more. 

But capabilities on the software side of the automation equation are arguably making even greater progress, powered by a new generation of technologies that is revolutionizing fulfillment performance. 

In this fast-paced session, we’ll explore the various applications for use of AI, ML and simulation in warehouse robotics and automation, detailing how these advanced, new-to-market capabilities are delivering enhanced productivity, throughput, and flexibility. 

These new capabilities include:    

  • Simulation-based design and “what if” scenario analysis to determine the right mix of robots and associates  
  • Synchronization of robots and humans in order picking execution
  • Use of AI/ML to optimize the release of work to DC floor, driven by continuous improvement 
  • The ability to orchestrate the flow of orders across heterogeneous automation types and vendors to maximize total throughput 

In total, these new capabilities represent a breakthrough in the warehouse automation sector.

Please join us to find out how.

Key Takeaways:

  • How use of simulation improves fulfillment decision-making across multiple time horizons
  • The fulfillment process areas where AI/ML can be best applied 
  • Why resource synchronization is key to AMR success 
  • How workload balancing drives productivity gains

Product Category: Robotics


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Audience

  • Intermediate

Categories

  • Robotics

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