In the pharmaceutical industry, bags containing raw materials are random-sized, easy to deform or wrinkle, and can weigh up to 50 kg, affecting vision recognition and picking. In the pharmaceutical distribution industry, large volumes and various types of carton boxes make a great demand on throughput. High-value and fragile drugs also call for high accuracy and stability.

XYZ Robotics' deep learning algorithm supports model-free recognition of 10,000+ types of bags and carton boxes. XYZ Robotics' motion planning algorithm can automatically generate the optimal trajectory and achieve 600 cycles/hour. The custom plug-in grippers help to pick and place stably. The accuracy of the vision system is up to 99.99% with a ≤ 0.05% dropping rate.

ROI in 1.5 years

Efficient picking result in a quick return on investment

99.99% accuracy

Verified with WCS/WES system and correct wrong data

Typical application

Bag, tote

Depalletizing and palletizing


Depalletizing and palletizing


Piece picking

Carton box

Depalletizing and palletizing

A large pharmaceutical group

  • The customer requires bag and tote depalletizing and palletizing to achieve automated inbound and feeding. The bags and totes can weigh up to 50 kg, requiring firm pick picking.The limited story height leads to a compact working space.

Our solutions

  • Accurately recognize deformed bags and stably pick bags and pallets with custom plug-in grippers
  • Use XYZ’s eye-in-hand camera to scan 2 m stacks in a limited space and ensure precise recognition of closely arranged totes
  • Mobile robots installed on tracks can work for 10 depalletizing positions flexibly
Typical case

To accelerate the advent of autonomous robotic perception and manipulation

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