Robohub.org
 

Evaluating what’s easy and what’s hard to automate in your workshop

by and
17 December 2015



share this:

Robot-arm-factory_manufacturing_industrialIf you haven’t already introduced a robot into your workshop, or if you are in the process of introducing such a device, you may be wondering … what is the best place to start? What is easy and what is hard to automate? Perhaps there are hundreds — or even thousands — of applications in your workshop. What should be automated first? Here is how we evaluate an application. 

Infographie_EasyOrHardToAutomate_V3

Every time we attend a meeting with robot newbies, they always have very slick ideas about what a robot should be able to do and how it will be done. The ideas are usually all really great and there is certainly a way to achieve them, however, it might take more time, energy and money with less return on investment than might be desirable. You have to be realistic too.

The bottom line is, robots are still pretty complex in general, but there are some applications that are easier than others. This is why we have split the image in our graphic into two sections with an easy and hard side. It is not that the hard side is impossible to do; it is just more complex and requires more effort.

Tasks

Robots are extremely accurate and repeatable in terms of position. It is easy even for a robot that is not very precise to repeat a position within 0.01 mm. So you don’t have to be worried about placing an object at the very same spot each and every time.

However, robots are still hard to automate when their environment is not very repeatable. For example, if an assembly requires hole localization using force feedback, or if you need to polish a part at a precise dimension. Having force feedback adds another level in terms of programming and is tougher to integrate into a first application. You may want to look for applications that can be done without using any input from workers, for example pick-and-place.

Parts

The choice of the part you will handle is critical in a robotic application. The more square or flat surfaces you have, the easier it is. The rigidity of the part will also make a huge difference. Handling the same part or the same family of parts is also a lot easier, because there will be fewer adjustments to make during production. Having a large range of part shapes and sizes will increase the complexity of the grasp.

Having the right kind of gripper can ease your robotic integration. Grippers like the Robotiq Adaptive Gripper are able to handle fragile or deformable objects and even different types of objects, but very few grippers can do this.

Part presentation

The way you present your parts to the robot is critical to the success of your robotic integration. Trays and fixed locations are the easiest to automate.

Bin picking, conveyors and other moving devices are harder to automate, since they require a superior level of intelligence, integration or sensors. This means you will need vision or encoders to determine the part position before grasping it.

Integration with other machines

Using your preexisting machine setup will remain your easiest option. In fact, when integrating a robot into a machine shop, the interface between the machine and the robot is always the hardest part. Robots don’t usually speak the same “language” as your other machines, which can make the connectivity quite complex. Remember that you should start small, with fewer devices to automate. For example, start by closing a door with the robot instead of introducing an automatic door with I/O’s.

Programming

Robots are good for redundant, boring things, but they are not yet good at decision making. This is why in your program you should reduce the level of logic required to the most basic sequence.

For more information on how to integrate your first robot in your workshop, you may want to take a look at the series: Getting Started with Collaborative Robots. This series will guide you through the different steps of integrating a collaborative robot in a workshop.



tags: , ,


Mathieu Bélanger-Barrette Mathieu works as the production engineer at Robotiq, where he strives to constantly optimize the production line for Robotiq Grippers.
Mathieu Bélanger-Barrette Mathieu works as the production engineer at Robotiq, where he strives to constantly optimize the production line for Robotiq Grippers.

Robotiq Inc. Robotiq's mission is to free human hands from tedious tasks so companies and workers can focus where they truly create value.
Robotiq Inc. Robotiq's mission is to free human hands from tedious tasks so companies and workers can focus where they truly create value.





Related posts :



Open Robotics Launches the Open Source Robotics Alliance

The Open Source Robotics Foundation (OSRF) is pleased to announce the creation of the Open Source Robotics Alliance (OSRA), a new initiative to strengthen the governance of our open-source robotics so...

Robot Talk Episode 77 – Patricia Shaw

In the latest episode of the Robot Talk podcast, Claire chatted to Patricia Shaw from Aberystwyth University all about home assistance robots, and robot learning and development.
18 March 2024, by

Robot Talk Episode 64 – Rav Chunilal

In the latest episode of the Robot Talk podcast, Claire chatted to Rav Chunilal from Sellafield all about robotics and AI for nuclear decommissioning.
31 December 2023, by

AI holidays 2023

Thanks to those that sent and suggested AI and robotics-themed holiday videos, images, and stories. Here’s a sample to get you into the spirit this season....
31 December 2023, by and

Faced with dwindling bee colonies, scientists are arming queens with robots and smart hives

By Farshad Arvin, Martin Stefanec, and Tomas Krajnik Be it the news or the dwindling number of creatures hitting your windscreens, it will not have evaded you that the insect world in bad shape. ...
31 December 2023, by

Robot Talk Episode 63 – Ayse Kucukyilmaz

In the latest episode of the Robot Talk podcast, Claire chatted to Ayse Kucukyilmaz from the University of Nottingham about collaboration, conflict and failure in human-robot interactions.
31 December 2023, by





Robohub is supported by:




Would you like to learn how to tell impactful stories about your robot or AI system?


scicomm
training the next generation of science communicators in robotics & AI


©2024 - Association for the Understanding of Artificial Intelligence


 












©2021 - ROBOTS Association