Industry 4.0 is waiting for you. Enroll now and develop your robot by mastering the latest tools used in the sector"

Industry 4.0 is currently experiencing its best moment, so Robotics and the field of artificial vision have opened very attractive professional fields for the future of those professionals in these sectors, including computer scientists.

This postgraduate diploma is aimed at graduates who wish to specialize in the field of Robot Navigation Systems for which the expert teaching team has prepared a syllabus that provides students with all the knowledge in this area so that upon completing this 6-month diploma course they will be able to master the main techniques and tools currently used in the development of Robotics.

Thus, this online program delves into the vision techniques used in Robotics, the development and understanding of algorithms, the improvement of the technique of image processing and analysis, as well as visual SLAM, Robot localization and Simultaneous Mapping using the latest techniques of Artificial Vision used.

The IT professional who wishes to progress in this field has an excellent opportunity to achieve their goals in a comfortable and flexible way, since this program allows access without fixed schedules to the entire content of the syllabus In this way, you can distribute the teaching load of the modules of this this syllabus, according to your needs. This allows you to combine your personal responsibilities with quality learning.

Organizing shelves in a warehouse, parking an autonomous car or delivering a package by steering a drone in an unfamiliar environment, all this can be achieved with Slam Visual and this postgraduate diploma. Click and sign up"

This postgraduate diploma in Robot Navigation Systems 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 are one step away from obtaining a postgraduate diploma that will make you grow. Access to all the knowledge in Robotics with professionals of the sector"

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 allow the professional a situated and contextual learning, that is, a simulated environment that will provide an immersive education programmed to prepare in real situations.

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

Enroll now and don't miss the opportunity to be able to create alternative trajectories for Mobile Robots"

Master 3D Vision systems and launch your next project with this postgraduate diploma"

The teaching team of this program has developed a syllabus with the aim that upon its completion, students will be able to develop the main mathematical foundations for the creation of projects in Robotics. In this case, applied to navigation systems. Thus, the IT professional will develop specialized knowledge in the use of Robot Operating System technology, will be able to examine the pros and cons of the different planning techniques and establish the limits and capabilities of visual SLAM. Case studies provided by the teaching team will facilitate the understanding and direct application of this knowledge.

With the Relearning system, learning will be faster, and you will save many hours of study"

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. 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 3. 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 4. 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

Reach your goals, create bio-inspired, aerial, terrestrial, aquatic robots. Everything at the click of a button. Enroll now”