Machine Learning
Machine learning is a sub-area of artificial intelligence. Machine
Learning at its most basic is the practice of using algorithms to parse (label)
data, learn from it, and then make a determination or prediction about
something in the world.
The long-term goal of machine learning in robotics is for robots to be able to
perform a wide variety of tasks flexibly without having to program the new
skills.
In the example shown, the robots were able to assemble the chair within 8
minutes and 55 seconds after the machine learning phase. With the help of
camera systems, the robots are able to recognize the parts
Machine Learning techniques
Machine Learnings three main points
Three categories model the interfaces of real
controllers:
Human-centred automation
Human-centred automation emphasizes that
automation functionality should be designed to:
* work cooperatively with human operators,
* support human performance, and
* ease human understanding of the system.
What are Collaborative Robots
A “cobot” is a robotic device which manipulates objects in collaboration with a
human operator.*
Robot designed for direct interaction with a human within a defined
collaborative workspace (ISO 10218-2:2011
Cobots vs Industrial Robots
Robot-human:
the robots’ knowledge of the humans’ commands needed to direct
activities and any human delineated constraints that may require command
noncompliance or a modified course of action.
Humans’ overall mission awareness
the humans’ understanding of the overall goals of
the joint human-robot activities and the measurement of the moment-by-moment
progress obtained against the goals
Level of collaboration
cell
coexistence
synchronised
cooperation
collaboration
Most application level today (cobot)
coexistence
synchronised
HRC safety in industrial robots
ABB YuMi (type of programming used)
Traditional Programming
Yaskawa (type of programminne used)
Traditional & Pendant Programming
Collaborative Robot Applications
Humans Operators
Industrial robots designed for collaborative applications
Safety devices
Why the need for Collaborative Robot Applications
Complex assembly processes
Faster change in products
Safety focused
Competitive advantages
Collaborative robots are used as
A solution to ergonomic issues
To aid the operator
To improve quality and efficiency
To improve flexibility
Human-robot collaboration (issues today)
ADAPTATION RATE IS LOWER THAN EXPECTED
THE HUMAN ROLE IS MOSTLY TO SUPERVISE
CLARITY IN COLLABORATION IS LACKING
Task allocation (bild)
Collaborative workspace
space within the operating space where the robot
system (including the workpiece) and a human can perform tasks concurrently during
production operation
Properly defined collaborative workspace (three dimensional)