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Robotics or Artificial Intelligence if I am interested in robots and automation?

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  • Blog

If you are attracted to robots and automation and want to dedicate your life to it, it is very important that you are clear about which type of training to choose: Robotics deals with creating, integrating and operating machines capable of acting in the environment, while Artificial Intelligence (AI) provides learning, analysis and decision-making capacity.

Understanding this difference, and what aspects each type of training affects, will allow you to guide your professional profile with the maximum success until you reach the professional future you want.

Choose Robotics if:

Opt for Robotics if you are looking for training geared towards building real solutions, connecting software with hardware and understanding how a machine perceives, moves and executes tasks with precision, safety and productive utility in different environments.

  • You like the physical: You will enjoy working with sensors, actuators, controllers and mechanisms. The basis of Robotics is in designing, integrating and testing systems, so it is a good choice if you enjoy practicing, assembling prototypes and obtaining tangible and functional results.
  • You are interested in industrial automation: Robotics is essential in applications such as welding, assembly, painting, packaging, palletising or machine tending. That is why it will bring you closer to sectors in which efficiency, quality and safety depend more and more on automated and efficient systems.
  • Your profile is engineering: You will fit in well if you are attracted to mathematics, electronics, mechanics, programming and technical problem solving. Robotics is a very attractive path if you want to understand how different technologies are integrated into a single automated and reliable solution.
  • Objective: You want to prepare yourself to design, implement and optimise robots or automated cells with an applied vision. If so, training in Robotics will allow you to participate in projects with a direct impact on production, logistics, advanced maintenance or technological development.

Choose Artificial Intelligence (AI) if:

Opting to train in Artificial Intelligence is advisable if you prefer to teach machines to recognise patterns, learn from data and decide more autonomously.

  • You like software and data: AI works on models trained with data to identify patterns, predict outcomes and automate tasks. If you are attracted to programming, analysis and working with complex information, you will find a career with enormous professional projection here.
  • You are interested in autonomous decision-making: Many intelligent systems learn to respond without rigid instructions and can adjust their behaviour automatically based on new data. This makes this discipline attractive if you want to develop solutions capable of recommending, classifying, planning or anticipating scalable scenarios.
  • You are attracted to the "soul" of the machine: If you are fascinated by understanding how a system perceives, interprets and decides, Artificial Intelligence brings you closer to that cognitive layer that makes robots, assistants, vehicles and digital platforms more useful in real contexts.
  • Objective: You want to train to create intelligent models and applications with a technical foundation and practical vision. A solid background in AI can pave your way into advanced analytics, automation, natural language or autonomous systems for different industries.

Profiles at a glance

If you are hesitating to choose whether to train in Robotics or Artificial Intelligence, this comparison table will allow you to find out which of these two paths best fits your profile.


Robotics

Artificial Intelligence

Focus

Design, integration and operation of physical machines.

Development of systems that learn, analyse data and decide for themselves.

Components

Sensors, actuators, controllers, mechanical structures and embedded software.

Data, models, algorithms, training, inference and deployment.

Objective

Create automated systems that sense, move and execute tasks.

Design solutions capable of predicting, classifying, optimising and automating decisions.

Area

Factories, logistics, maintenance, robotic lines and physical environments.

Analytics, vision, language, assistants, recommendation and software autonomy.

Type of work

Integration of hardware and software with field tests.

Modelling, experimentation, validation and continuous improvement with data.

Recommended profile

Interest in mechanics, electronics, control and technical resolution.

Affinity for programming, mathematics, data and analytical thinking.

Outings

Industrial automation, collaborative robotics, commissioning and advanced maintenance.

Development of AI, advanced analytics, machine vision and autonomous systems.

Frequently asked questions

Do I need to know how to program to study industrial robotics?

You don't need to know how to programme, but you do need to be willing to learn. Industrial robots are programmable machines, and technical training usually includes operation, adjustments and basic programming to set up automated cells. Although there are graphical tools that make it easier to get started, understanding the logic of the software will give you more professional autonomy and better problem-solving skills.

What career path should I choose to work in factory automation?

If your goal is to work in factory automation, a background in Robotics or Industrial Automation is usually the most straightforward option, as such a foundation prepares you to integrate robots, control, sensors and production processes. Artificial Intelligence adds value when you need to optimise decisions or perform predictive maintenance in increasingly connected and digitised industrial environments.

Now that you are clearer about what differentiates Robotics from Artificial Intelligence, at UDIT we can help you choose the path that best suits you. And if you are interested in training in both disciplines at the same time, our Double Degree in Robotics + Data Science and Artificial Intelligence may be the perfect option for you.

Moreover, if you decide to continue specialising in this field, our Official Master's Degree in Artificial Intelligence will provide you with everything you need to take the next step and become the professional you want to be.

Ask us your questions, we will guide you to choose your best option!