Helping robot to see case study

ADLINK NEON helped Recognition Robotics develop a whole new robotic vision guidance platform

Problem

A large automotive parts supplier wanted to use a robotic arm to derack automotive body panels and place them onto a vehicle in the body-in-white part of the vehicle assembly process. With multiple suppliers and different generations of part racks, de-racking was a difficult process to automate until Recognition Robotics applied their vision algorithms to the robotic vision guidance problem.

 

RAIO Solution

With industrial floor space at a premium, the automotive customer required a system with the following key characteristics:

  • Smaller footprint
  • Lower cost
  • Simpler to setup and operate

Recognition Robotics’ Robeye is unique in its ability to process images in the same way that the human visual cortex functions. From a single 2D image their system is able to recognize a part and return the X, Y, Z, Rx, Ry and Rz location information about the orientation of the part within the robot’s user frame

 Read more about RAIO

 

“The algorithms are based on the human cognitive ability to recognize objects. When I developed these algorithms, I was mimicking the human visual cortex. We’ve used knowledge about human brain function, the point of view of the human eye, and put this into the software realm.” Dr Simon Melikian, CEO, Recognition Robotics

Heiping robot to see case study.pdf

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