It is advisable to start with a frequent, limited and observable mission. There must be a clear way to know if the robot completes it, when it needs help and what limits it cannot exceed.
It is also necessary to review environmental variability, interaction with people, necessary tools and consequences of a failure before selecting hardware or training skills.
Frequently asked questions
Which task should be automated first?
A repeatable task, with operational value, sufficiently known environment, and observable success criteria usually offers a more useful starting point.
Can the same robot learn multiple applications?
It can incorporate different skills if the hardware and the environment allow it. Each skill must be validated with its own limits and conditions of use.
How is feasibility assessed?
Mission, environment, frequency, exceptions, human interaction, sensors, tools, connectivity and acceptance criteria are reviewed.
Define a first viable use case
Tell us about the task, the environment, and the robot available to start the assessment.
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