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This is a summary of different Calibration problems end users have on the field, and also
things that needs to be done within calibration to make the techniques more usable and
ensure a higher quality:
- The biggest reason why end users don’t use work objects is because they don’t
know why they need work objects and what the object can do for them.
- When a tool center point (TCP) is calibrated people often don’t know what an
elongator point is, they also don’t know why and when they should use more than
four points to calibrate a TCP.
- When calibrating TCP, it would be time saving to know which of the points that
is most far off, which point that causes the biggest discrepancy.
- The feedback in the application that shows how good precision the tool has after
a TCP calibration is done is very poor.
- The work object points should be saved; the benefits are explained in the analysis
chapter.
- When a Robot program is created offline the installation technician needs to go
through every point when installing to test if the program actually runs correctly.
Since the installation technician doesn’t have knowledge about the program he or
she doesn’t know where the next point is placed in space. This becomes a major
problem and could easily lead to robot crashes, tool crashes or damage to the
fixture.
- There are benefits for saving TCP calibration points and they are explained in the
analysis chapter.
- It is difficult to know where all the markings are on a specific robot model when
trying to do a revolutions counter update.
- The FlexPendant uses the metric system which is hard to grasp for people that
don’t use mm in a daily basis, for instance Americans are more familiar to inches.
Tech Materials (Free)
Calibration problems Things That Needs To Be Done Within Calibration
Direct Manipulation versus Interface Agents Extra Eyes or Extra Ears
Intelligent Interface Agents What is an Intelligent Interface Agent?
Interface Agents What can agents do for the user?
Robot System The Robot System
EPSON Micro PowerDrive EPSON PowerDrive Servo System ensures Maximum Robot Performance
HRP 2W Humanoid Can now serve tea and wash the cup
Robot Behaviors Exploring the T-Maze: Evolving Learning-Like Robot Behaviors using CTRNNs
Humanoid Robotics A Biochemical Subsystem for a Humanoid Robot
Industrial Automation Systems Applying Agents for Engineering of Industrial Automation Systems
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