Vision Guided Robotic Systems

From Wikipedia, the free encyclopedia
Jump to navigation Jump to search

A Vision Guided Robot (VGR) System is basically a robot fitted with one or more cameras used as sensors to provide a secondary feedback signal to the robot controller to more accurately move to a variable target position. VGR is rapidly transforming production processes by enabling robots to be highly adaptable and more easily implemented, while dramatically reducing the cost and complexity of fixed tooling previously associated with the design and set up of robotic cells, whether for material handling, automated assembly, agricultural applications [1], life sciences, and more. [2]

In one classic though dated example of VGR used for industrial manufacturing, the vision system (camera and software) determines the position of randomly fed products onto a recycling conveyor. The vision system provides the exact location coordinates of the components to the robot, which are spread out randomly beneath the camera's field of view, enabling the robot arm(s) to position the attached end effector (gripper) to the selected component to pick from the conveyor belt. The conveyor may stop under the camera to allow the position of the part to be determined, or if the cycle time is sufficient, it is possible to pick a component without stopping the conveyor using a control scheme that tracks the moving component through the vision software, typically by fitting an encoder to the conveyor, and using this feedback signal to update and synchronize the vision and motion control loops.

Such functionality is now common in the field of vision guided robotics (VGR). It is a fast-growing rapidly evolving technology proving to be economically advantageous in countries with high manufacturing overheads and skilled labor costs by reducing manual intervention, improving safety, increasing quality, and raising productivity rates, among other benefits. [3]

[4] [5]

Vision systems for robot guidance[edit]

Camera lens for machine vision

A vision system comprises a camera and microprocessor or computer, with associated software. This is a very wide definition that can be used to cover many different types of systems which aim to solve a large variety of different tasks. Vision systems can be implemented in virtually any industry for any purpose. It can be used for quality control to check dimensions, angles, colour or surface structure-or for the recognition of an object as used in VGR systems.

A camera can be anything from a standard compact camera system with integrated vision processor to more complex laser sensors and high resolution high speed cameras. Combinations of several cameras to build up 3D images of an object are also available.

Limitations of a vision system[edit]

There are always difficulties of integrated vision system to match the camera with the set expectations of the system, in most cases this is caused by lack of knowledge on behalf of the integrator or machine builder. Many vision systems can be applied successfully to virtually any production activity, as long as the user knows exactly how to set up system parameters. This set-up, however, requires a large amount of knowledge by the integrator and the number of possibilities can make the solution complex. Lighting in industrial environments can be another major downfall of many vision systems.

VGR systems Benefits[edit]

Traditional automation means serial production with large batch sizes and limited flexibility. Complete automation lines are usually built up around a single product or possibly a small family of similar products that can run in the same production line. If a component is changed or if a complete new product is introduced, this usually causes large changes in the automation process-in most cases new component fixtures are required with time consuming set up procedures. If components are delivered to the process by traditional hoppers and vibrating feeders, new bowl feeder tooling or additional bowl feeder tops are required. It may be that different product must be manufactured on the same process line, the cost for pallets, fixtures and bowl feeders can often be a large part of the investment. Other areas to be considered are space constraints, storage of change parts, spare components, and changeover time between products.

VGR systems can run side-by-side with very little mechanical set up, in the most extreme cases a gripper change is the only requirement, and the need to position components to set pick-up position is eliminated. With its vision system and control software, it is possible for the VGR system to handle different types of components. Parts with various geometry, can be fed in any random orientation to the system and be picked and placed without any mechanical changes to the machine, resulting in quick changeover times. Other features and benefits of VGR system are:[6]

  • Switching between products and batch runs is software controlled and very fast, with no mechanical adjustments.
  • High residual value, even if production is changed.
  • Short lead times, and short payback periods
  • High machinery efficiency, reliability, and flexibility
  • Possibility to integrate a majority of secondary operations such as deburring, clean blowing, washing, measuring and so on.
  • Reduces manual work

See also[edit]


  1. ^ Shafiekhani, Ali; Kadam, Suhas; Fritschi, Felix B.; DeSouza, Guilherme N. (2017-01-23). "Vinobot and Vinoculer: Two Robotic Platforms for High-Throughput Field Phenotyping". Sensors. 17 (1): 214. doi:10.3390/s17010214.
  2. ^ Robotic Industries Association by Tanya M. Anandan, Contributing Editor POSTED 04/02/2013
  3. ^ Intelligent Robots: A Feast for the Senses by Tanya M. Anandan, Contributing Editor Robotic Industries Association POSTED 06/25/2015,
  4. ^ Zens, Richard. 2006. Vision-guided robot system trims parts. Vision Systems Design, PennWell Corporation (Tulsa, OK),
  5. ^ Perks, Andrew. 2004. Vision Guided Robots. Special Handling Systems, UK RNA Automation Ltd,
  6. ^ Perks, Andrew. 2006. Advanced vision guided robotics provide 'future-proof' flexible automation. Assembly Automation, Vol.26 No.3, Emerald (Brandford), p216-217