Description

Specialize in artificial vision applied to Robotics and progress in your professional career with this postgraduate diploma"

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Far from science fiction, this program aimed at Computer Science professionals is oriented to provide all the necessary knowledge for the student to be able to project any idea to be developed in Artificial Intelligence or to work in Robotics projects, especially in the field of visual perception systems.

In this way, the teaching team specialized in this area will guide the students through the algorithmic bases that support its operation, its applications, advantages and limitations. To do this, during the 6 months of this online postgraduate diploma, a theoretical-practical approach will be applied in which, through examples, the students will find environments with robots, but without losing sight of the relevance to understand the machine learning techniques to be used.

Although artificial vision is one of the most complex fields of Robotics, the multimedia material offered by this program will facilitate its learning. Thus, students will be able to acquire the main vision techniques based on learning systems, particularly the use of neural networks, which have revolutionized the way in which machine vision is used today. Likewise, in this program the student will learn the most advanced tools to be able to develop in the field of artificial vision for Robotics, both at a theoretical and practical level.

An excellent opportunity for graduates who wish to progress in their professional field under the guidance of the best specialists and with quality teaching, which allows access to all the content from the first day and a Relearning system, based on the reiteration of content, which in turn facilitates learning and knowledge consolidation.

Join a 100% online program and apply advanced Artificial Intelligence techniques on Intelligent Agents in your projects”

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 which 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

Unleash your full potential in this postgraduate diploma and learn in a simple way to identify the new fields of application of generative neural networks”

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.

This postgraduate diploma will allow you to reach a high level of mastery of the algorithms used in the creation of robots"

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An excellent opportunity for you to implement your projects in the area of Robotics"

Objectives

This postgraduate diploma is a sample of the strong connection between Robotics and Artificial Intelligence. Thus, throughout the 450 teaching hours of this program, the graduates will be able to identify the biological inspiration of Artificial Intelligence and Intelligent Agents, determine the techniques that allow extracting information from sensor data and apply visual information processing tools to fully master the technique. Video summaries of each topic and specialized readings will assist students in achieving their goals.

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TECH's methodology allows you to distribute the teaching load according to your needs, adapting to your pace"

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. Application of 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 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
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Follow the path from algorithms applied to robotics to Deep Learning with this postgraduate diploma"

Postgraduate Diploma in Robot Visual Perception Systems with Machine Learning

Robotics has become one of the most promising areas today, with a huge potential to revolutionize different sectors. The ability of robots to perform tasks autonomously, without the need for human intervention, is one of the reasons why they are increasingly being used in industry and everyday life. In this context, the field of visual perception systems with machine learning is essential for improving the efficiency of robots, as well as for achieving greater accuracy in decision-making. Therefore, experts in this field are highly demanded by technology companies. Consequently, this academic institution has designed the Postgraduate Diploma in Robot Visual Perception Systems with Machine Learning, which will specialize you in this field to increase your career prospects.

Specialize in Robot Visual Perception Systems with Machine Learning through a 100% online methodology

The Postgraduate Diploma in Robot Visual Perception Systems with Machine Learning will enable you to learn about unsupervised learning methods applied to computer vision, delve into the intricacies of deep neural networks or identify learning techniques for localization and mapping in Mobile Robotics. This program is taught by a prestigious teaching staff, made up of the best engineers specialized in the field of Robotics, who will be responsible for providing you with the most cutting-edge and up-to-date knowledge in this sector.