Building a Pick and Place Application

Part 2: Optimizing Robot Selection for Pick and Place Applications: Key Considerations
May 13, 2024 by

The second part of our series on building pick and place applications focuses on the crucial aspect of robot selection. The primary goal of this selection process is to minimize the overall cycle time of the application. This article will delve into the key considerations, including robot speed, payload, reach, and infeed and outfeed strategies. 

Key Considerations for Robot Selection in Pick and Place Applications

When selecting a robot for your pick and place application, several factors come into play:

Robot Speed

Governed by the risk assessment, the speed of the robot determines the number of products that can be handled per minute.

Robot Payload

It's crucial to ensure that the robot can handle the cumulative weight of the mounting bracket, end effectors, and the workpiece.

Robot Reach

The robot's reach is determined by the positioning of the infeed and outfeed systems and the robot's mounting point.

Understanding Infeed and Outfeed Strategies

Critical to any successful pick and place application is the understanding of how your parts can be presented to the robot and subsequently handled. Here are a few infeed strategies to consider:

  • Fixed Position: Present the product in a consistent, repeatable position
  • Uniform Arrangement: Arrange the products in uniform patterns for ease of pick up
  • Moving Conveyor Belt: Employ a strategy that enables the robot to track and pick up a product moving on a conveyor belt

Your outfeed strategy will largely depend on what the next process for the parts will be.

Tying it all Together

Successfully implementing a pick-and-place application requires the experience and insights of a seasoned team of engineers. At BlueBay Automation, we're equipped to help you navigate the intricacies of your project. Contact us today for comprehensive, tailored solutions to meet your unique needs.

Get in Touch with Our Team

May 13, 2024
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