Become a specialist in Industry 4.0, industrial process automation, robot planning algorithms and much more content created by Robotics experts”

It is undeniable that Robotics has driven the advancement of industry to levels that were unimaginable just a few years ago. It is already common to talk about Machine Learning or Artificial Intelligences, fields in which Robotics can expand to offer almost futuristic solutions to everyday or even medical problems, with robotic assistants in complex operations.

All this generates an undeniable growth opportunity for professional engineers who dedicate themselves to this field, as they will find a multitude of areas and projects to which they can direct their careers. From the purely industrial field to aerospace technologies and international programs, an appropriate specialization in Robotics can mean a quantitative and qualitative leap in quality for the engineers in their own professional career.

For this reason, TECH has assembled for this program a team of leaders in the field of Robotics, with extensive experience in numerous international projects of great prestige and an impeccable academic curriculum. Precisely this teaching profile means that the entire content of the program has a unique theoretical-practical approach, where the engineer will not only find the latest developments in Robotics, Artificial Intelligence and Communication Systems, but also the practical application of all this knowledge in real working environments.

Through numerous videos in detail, complementary readings, video summaries and self-knowledge exercises, the engineer will obtain a global and specialized vision of the current state of Robotics, being able to incorporate to his resume a program that positions him as a valuable asset for any company in the sector. All this, in addition, with the advantage of being able to manage the professional master’s degree at your own pace, without having to attend classes or fixed schedules of any kind. The teaching is 100% online and allows the necessary flexibility to combine it with the most demanding personal and professional activity.

Join a program in which you will be the one who decides how, where and when to take on the entire course load, without having to sacrifice your personal or professional life to do so"

This professional master’s degree in Robotics 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

Enroll now and don't miss the opportunity to delve into the application of Robotics to virtual and augmented reality technologies, with virtual sensors and mixed mobile applications"

The program’s teaching staff includes professionals from the sector who contribute their work experience to this training 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.

Get the boost your career needs by incorporating this professional master’s degree in your value proposal"

Master the most advanced and modern Robotics with topics dedicated exclusively to visual SLAM, computer vision and Visual Servoing"

The objective of this program could not be other than to offer the engineer the most rigorous and current contents in Robotics. Therefore, throughout the 10 extensive modules of knowledge that make up this professional master’s degree, there will be many references to real Robotics cases. This casuistry has been created by the teaching team itself, so that the engineer can incorporate the knowledge of the subject to their daily work in the most practical and quickest way possible.

Thanks to TECH's advanced teaching methodology, you will save many hours of study time, which you can invest in the large library of multimedia content created specifically for this program"

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. Robotics: Robot Design and Modeling 

• Delve into the use of Gazebo Simulation Technology
• Master the use of the URDF Robot Modeling language
• Develop specialized knowledge in the use of Robot Operating System technology
• Model and simulate manipulator robots, land mobile robots, air mobile robots and model and simulate aquatic mobile robots

Module 2. 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 3. Robotics in the Automation of Industrial Processes

• Analyze the use, applications and limitations of industrial communication networks
• Establish machine safety standards for correct design
• Develop clean and efficient programming techniques in PLCs
• Propose new ways of organizing operations using state machines
• Demonstrate the implementation of control paradigms in real PLC applications
• Fundamentalize the design of pneumatic and hydraulic installations in automation
• Identify the main sensors and actuators in robotics and automation

Module 4. Automatic Control Systems in Robotics

• Generate specialized knowledge for the design of nonlinear controllers
• Analyze and study control problems
• Master control models
• Design nonlinear controllers for robotic systems
• Implement controllers and assess them in a simulator
• Determine the different existing control architectures
• Examine the fundamentals of vision control
• Develop state-of-the-art control techniques such as predictive control or machine learning based control

Module 5. Robot Planning Algorithms

• Establish the different types of planning algorithms
• Analyze the complexity of motion planning in robotics
• Develop techniques for environment modeling
• Examine the pros and cons of different planning techniques
• Analyze centralized and distributed algorithms for robot coordination
• Identify the different elements in decision theory
• Propose learning algorithms for solving decision problems

Module 6. 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 7. Robot Visual Perception Systems with Automatic 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

Module 8. Visual SLAM. Robot Localization and Simultaneous Mapping by Computer Vision Techniques

• Specify the basic structure of a Simultaneous Localization and Mapping (SLAM) system
• Identify the basic sensors used in Simultaneous Localization and Mapping (visual SLAM)
• Establish the boundaries and capabilities of visual SLAM
• Compile the basic notions of projective and epipolar geometry to understand imaging projection processes
• Identify the main visual SLAM technologies: Gaussian Filters, Optimization and Loop Closure Detection
• Describe in detail the operation of the main visual SLAM algorithms
• Analyze how to carry out the tuning and parameterization of SLAM algorithms

Module 9. Application of Virtual and Augmented Reality Technologies to Robotics

• Determine the difference among the different types of realities
• Analyze the current standards for modeling virtual elements
• Examine the most commonly used peripherals in immersive environments
• Define geometric models of robots
• Assess physics engines for dynamic and kinematic modeling of robots
• Develop Virtual Reality and Augmented Reality projects

Module 10. Robot Communication and Interaction Systems

• Analyze current natural language processing strategies: heuristic, stochastic, neural network-based, reinforcement-based learning
• Assess the benefits and weaknesses of developing cross-cutting, or situation-focused, interaction systems
• Identify the environmental problems to be solved in order to achieve effective communication with the robot
• Establish the tools needed to manage the interaction and discern the type of dialogue initiative to be pursued
• Combine pattern recognition strategies to infer the intentions of the interlocutor and respond in the best way to them
• Determine the optimal expressiveness of the robot according to its functionality and environment, and apply emotional analysis techniques to adapt its response
• Propose hybrid strategies for interaction with the robot: vocal, tactile and visual

You will have the full support of TECH's technical and teaching team to help you achieve your most ambitious professional goals"