AMT and FANUC to showcase mixed-load handling at Automate 2026
Applied Manufacturing Technologies (AMT) and FANUC will exhibit a collaborative robotic system for mixed-load handling at Automate 2026 in Chicago. The demonstration, featuring AI-enabled vision technology, addresses warehouse labor shortages and operational flexibility. The event takes place from June 22 to June 25.

*this image is generated using AI for illustrative purposes only.
Applied Manufacturing Technologies (AMT) and FANUC will demonstrate a collaborative robotic system designed for mixed-load palletizing and depalletizing at Automate 2026. The exhibition, scheduled for June 22–25 at McCormick Place in Chicago, will feature the technology in FANUC booth #1001. The demonstration aims to address labor shortages and ergonomic concerns in warehouse and logistics environments by improving throughput without adding complexity to existing workflows.
The system utilizes a FANUC CRX collaborative robot integrated with AI-enabled vision and intelligent robot control software provided by Mujin. This combination allows the robot to handle mixed-case loads, adapting to varying box sizes, pallet patterns, and material flow requirements. The application is intended for inbound logistics, warehouse flow management, and third-party logistics (3PL) operations.
Technology Integration
The demonstration highlights the integration of hardware and software to manage variability in warehouse operations. The key components include:
| Component | Provider | Function |
|---|---|---|
| Collaborative Robot | FANUC | Physical handling of loads |
| Vision and Control | Mujin | AI-enabled decision making |
| System Integration | AMT | Application development |
Industry Challenges
Warehouse operators face increasing pressure to manage a wider mix of products and packaging configurations. Mixed-load handling presents specific challenges because automation systems must adapt to changing conditions rather than following fixed sequences. The technology demonstrated by AMT and FANUC is designed to support operations where flexibility, portability, and operator interaction are critical.
"Mixed-load handling is one of the more difficult automation challenges because product configurations, pallet conditions, and inbound material flow can vary significantly from one operation to another," said Craig Salvalaggio, President of AMT. "This demonstration gives attendees an opportunity to see a practical application while discussing how similar technologies can be applied to broader warehouse automation initiatives."
AMT engineers and automation specialists will be present at the event to discuss collaborative robotics integration, warehouse automation planning, and material handling system requirements. The company is a FANUC Level V Authorized System Integrator.
What is the projected ROI timeline for warehouses implementing this mixed-load collaborative system compared to traditional fixed automation?
How scalable is this AI-enabled solution for smaller 3PL operators with limited capital budgets?
Will this technology be adapted beyond palletizing to other complex warehouse tasks like order picking or truck loading?
























