Be the expert Robotics Engineer that every company wants to have in its team. Enroll now”

Any autonomous robot capable of navigating must provide the mechanisms that provide answers to fundamental questions such as: Where am I, where do I want to go, and how do I get there? This postgraduate diploma provides engineers with the knowledge and current technological tools used to answer these questions and propel career in this field.

Due to the high capabilities and complexity of artificial intelligence algorithms, it is essential to master this subject in order to successfully deal with this technology. The specialized teaching team in charge of providing this education will accompany students in this journey to achieve their professional goals with solvency.

This program, taught entirely in online mode, will cover one of the key aspects in the field of robot autonomy, artificial vision. The different architectures, uses of deep neural networks and 2D and 3D vision problems will be covered in this postgraduate diploma.

An excellent opportunity for the engineering professionals who want to specialize in a booming industry with a wide range of job opportunities. All of this with a learning system that facilitates the acquisition of a specialization without neglecting personal responsibilities thanks to the absence of fixed schedules to access all the content of the program. Thus, students only need an electronic device with internet connection to access the platform and start at any time of the day.in a program that will boost their career.

Specialize and succeed in the Robotics industry. Take the step and sign up’’

This postgraduate diploma in Robot Visual Perception Systems with Machine Learning contains the most complete and up-to-date program on the market. The most important features include:

• Development of case studies presented by experts in robotic engineering
• The graphic, schematic, and practical contents with which they are created, provide scientific and practical information on the disciplines that are essential for 
  professional practice
• Practical exercises where self-assessment can be used to improve learning
• Its special emphasis on innovative methodologies
• Theoretical lessons, questions to the expert, debate forums on controversial topics, and individual reflection assignments
• Content that is accessible from any fixed or portable device with an Internet connection

You have the opportunity to advance in a booming field. Enroll and perfect your knowledge in Artificial Intelligence”

The program’s teaching staff includes professionals from the sector who contribute their work experience to this educational program, as well as renowned specialists from leading societies and prestigious universities.

Its multimedia content, developed with the latest educational technology, will provide the professional with situated and contextual learning, i.e., a simulated environment that will provide an immersive education programmed to learn in real situations.

The design of this program focuses on Problem-Based Learning, by means of which the professionals must try to solve the different professional practice situations that are presented throughout the program. For this purpose, the student will be assisted by an innovative interactive video system created by renowned experts.

The multimedia resource library of this postgraduate diploma provides you with a cutting-edge and highly useful content for your career"

Acquire learning that will lead to the optimal deployment of Neural Networks in Real Applications"

This postgraduate diploma provides students during the 6 months of duration an online education that will allow them to specialize in an area where they will be able to develop concrete implementations of artificial intelligence algorithms, apply visual information processing tools or develop the mathematical foundations for kinematic and dynamic modeling of robots. All this thanks to an extensive library of multimedia resources and essential readings to fully master this topic.

Thanks to the simulations of real cases you will acquire useful knowledge to put into practice with your next project in Robotics"

General Objectives

• Understand the mathematical foundations for kinematic and dynamic modeling of robots
• Delve into the use of specific technologies for the creation of robot architectures, robot modeling and simulation
• Generate specialized knowledge on Artificial Intelligence
• Develop the technologies and devices most commonly used in industrial automation
• Identify the limits of current techniques to identify bottlenecks in robotic applications

Specific Objectives

Module 1. Intelligent Agents Applying Artificial Intelligence to Robots and Softbots

• Analyze the biological inspiration of Artificial Intelligence and intelligent agents
• Assess the need for intelligent algorithms in today's society
• Determine the applications of advanced Artificial Intelligence techniques on Intelligent Agents
• Demonstrate the strong connection between Robotics and Artificial Intelligence
• Establish the needs and challenges presented by Robotics that can be solved with Intelligent Algorithms
• Develop concrete implementations of Artificial Intelligence Algorithms
• Identify Artificial Intelligence algorithms that are established in today's society and their impact on daily life

Module 2. Artificial Vision Techniques in Robotics: Image Processing and Analysis

• Analyze and understand the importance of vision systems in robotics
• Establish the characteristics of the different perception sensors in order to choose the most appropriate ones according to the application
• Determine the techniques for extracting information from sensor data
• Apply visual information processing tools
• Design digital image processing algorithms
• Analyze and predict the effect of parameter changes on algorithm performance
• Assess and validate the developed algorithms in terms of results

Module 3. Robot Visual Perception Systems with Machine Learning

• Master the machine learning techniques most widely used today in academia and industry
• Delve into the architectures of neural networks to apply them effectively in real problems
• Reuse existing neural networks in new applications using transfer learning
• Identify new fields of application of generative neural networks
• Analyze the use of learning techniques in other fields of robotics such as localization and mapping
• Develop current technologies in the cloud to develop neural network-based technologies
• Examine the deployment of vision learning systems in real and embedded systems

Access to the most widely used machine learning techniques applied in the industry today”