Robohub.org
 

How to fine tune your robot’s payload, and why


by and
20 January 2016



share this:

PayloadPayload, grip force, weight, and reach are all data that are used to describe and differentiate robots from each other. Payload is mostly used to determine the weight that the robot can carry through space. However, in order to enhance your robot program, you may want to fine tune your robot payload. Here’s why.

Safety

For safety purposes you should set your payload. In fact, especially for collaborative robots where human-robot interaction is anticipated, it is important to determine what the reaction of the robot should be. Since the robot is able to feel an impact to its joints or at its base, it is normal to set the payload of each motion of the robot to tell it that it is carrying X weight and that it should be feeling Y force. If this force is exceeded, then this would be an abnormal force and could mean a problem.

For example, take a robot that is carrying a 5kg (49.05N) payload. The program has been set in order to tell the robot it has acquired this payload in its gripper. If under normal operating conditions the robot accidentally hits a human operator, then you would want the robot to react, preferably to slow down and stop. If the safety setting were set to 60N, this means the robot is very sensitive and will stop at +/-10N impact, which is pretty small.

To take full advantage of the robot programming, you should set the program when the robot isn’t carrying a specific payload. The safety setting will consequently be adjusted.

Acceleration

The same principle applies for acceleration. Since the robot has been set to a certain acceleration and that acceleration is done by powering the robot joints, the robot needs to know the payload carried. In fact, if the acceleration has to be fast and the payload is at its max, the motor will in all likelihood read an overcurrent and call an emergency stop.

The opposite is also true: if you have no payload, but the robot thinks it has a certain payload, it will read an undercurrent. This will lead the robot to accelerate quite fast, which can produce a collision or a misalignment of the robot arm.

Don’t forget that the base payload has to include the robot tool. The full payload should consider the robot tool and the part it is carrying.

How to know if my payload is set correctly?

Since there are a couple of factors that can contribute to your robot payload, it may be hard to determine the exact payload to be set in the program. Luckily, there is a very easy way to test if your robot payload has been set correctly.

Since we did some of our testing with Universal Robots I will use this specific situation, but most robots will follow the same rules.

You will set the robot payload in your basic settings; with UR you can touch the button at the back of the teach pendant called: ”FREE DRIVE”. If the robot arm moves up, the payload is set too low or is too light. If the robot arm is going down, the payload is set to high or is too heavy. With this approach you can then fine tune your payload — just note the adjustment needed and adjust the payload setting in your UR program.

These are a couple of easy tricks that can save you a lot of trouble when debugging your robot. We will be posting more technical articles in the next few weeks and would like to have your feedback and your input on problems you have experienced (in this case) with your robot payload.

 



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 :



Robot Talk Episode 124 – Robots in the performing arts, with Amy LaViers

  06 Jun 2025
In the latest episode of the Robot Talk podcast, Claire chatted to Amy LaViers from the Robotics, Automation, and Dance Lab about the creative relationship between humans and machines.

Robot Talk Episode 123 – Standardising robot programming, with Nick Thompson

  30 May 2025
In the latest episode of the Robot Talk podcast, Claire chatted to Nick Thompson from BOW about software that makes robots easier to program.

Congratulations to the #AAMAS2025 best paper, best demo, and distinguished dissertation award winners

  29 May 2025
Find out who won the awards presented at the International Conference on Autonomous Agents and Multiagent Systems last week.

Congratulations to the #ICRA2025 best paper award winners

  27 May 2025
The winners and finalists in the different categories have been announced.

#ICRA2025 social media round-up

  23 May 2025
Find out what the participants got up to at the International Conference on Robotics & Automation.

Robot Talk Episode 122 – Bio-inspired flying robots, with Jane Pauline Ramos Ramirez

  23 May 2025
In the latest episode of the Robot Talk podcast, Claire chatted to Jane Pauline Ramos Ramirez from Delft University of Technology about drones that can move on land and in the air.

Robot Talk Episode 121 – Adaptable robots for the home, with Lerrel Pinto

  16 May 2025
In the latest episode of the Robot Talk podcast, Claire chatted to Lerrel Pinto from New York University about using machine learning to train robots to adapt to new environments.

What’s coming up at #ICRA2025?

  16 May 2025
Find out what's in store at the IEEE International Conference on Robotics & Automation, which will take place from 19-23 May.



 

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


©2025.05 - Association for the Understanding of Artificial Intelligence


 












©2025.05 - Association for the Understanding of Artificial Intelligence