Applications of autonomous and humanoid robots

Autonomy has value when it solves a specific mission in a real environment, with limits and results that can be verified.

Where autonomy can add value

These scenarios guide the evaluation; each implementation depends on the robot, the environment and the task.

Industry

Support in repetitive tasks, manipulation and walking within productive environments.

Logistics

Movement, location and assistance in warehouse flows with frequent changes.

Incoming inspection

Collection of information and review of areas where human exposure should be reduced.

Attention & Support

Interaction through natural language and execution of skills in shared spaces.

How to choose a good first use case

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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