Do you have a project in mind but lack expertise? In this program, an expert teaching team in Robotics gives you the tools to advance in Industry 4.0"

Robotics is part of our daily lives. Machines are not only present in the industrial sector, which has grown enormously thanks to technical and scientific advances, but Robotics has also been brought closer to the public. It is no longer rare to see how any person with any kind of qualifications can drive a drone, have virtual glasses to immerse themselves in the latest video game or see houses equipped with this technology that solves all kinds of problems.

Robotics is a common term, current and with a broad future for IT professionals who wish to specialize in an area with great growth possibilities. This professional master’s degree provides extensive knowledge that will allow students to acquire learning in Augmented Reality, Artificial Intelligence, aerospace or industrial technology fields. All this will allow students to access companies in different sectors or create their own Robotics projects.

In this 100% online program, in order for students to achieve their goal, TECH has brought together a team of specialized professionals with extensive experience in prestigious international projects in the Robotics field. This teaching staff provides IT professionals with a theoretical-practical approach, where they will not only learn about the latest developments in Robotics, but will also be able to learn about its application in real environments.

An excellent opportunity to progress with a qualification that, from the very beginning, provides a complete syllabus composed of video summaries, essential readings, detailed videos and self-command exercises. This way, students will acquire a global vision of Robotics in a convenient way, as they will be able to access all the content whenever they wish and distribute the teaching load according to their personal needs. This will allow students to balance academic learning at the forefront of their field of study with their personal responsibilities.

Connect whenever you want, at any time to all the content of this university program. TECH adapts to you”

 

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 advance in the main visual SLAM technologies"

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.

The 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 immersive education programmed to learn in real situations.

This program is designed around Problem-Based Learning, whereby the professional must try to solve the different professional practice situations that arise during the academic year This will be done with the help of an innovative system of interactive videos made by renowned experts.

Develop clean and efficient PLC programming techniques with this university qualification"

Master the most advanced Robotics thanks to this program's approach on hardware and software agents"

The purpose of this Professional Master's Degree is for IT professionals to acquire the most rigorous and innovative knowledge in the Robotics field. This program consists of 10 modules where the main development concepts of in this field; the application of the use of specific technologies for the creation of robots, robot modeling and simulation, as well as the most current techniques, will be discussed. This will allow students to achieve their career progression goals with the support of the specialized teaching team that will guide them during the 12 months of this program.

Thanks to the Relearning system offered by TECH you will reinforce your learning in a simple and practical way"

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

• Determinar la diferencia entre los distintos tipos de realidades
• Analizar los estándares actuales para el modelado de elementos virtuales
• Examinar los periféricos más utilizados en entornos inmersivos
• Definir modelos geométricos de robots
• Evaluar los motores físicos para el modelado dinámico y cinemático de robots
• Desarrollar proyectos de Realidad Virtual y de Realidad Aumentada

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 necessary tools to start your own Robotics project. Enroll now”