Acquire the most advanced knowledge in robot design and modeling with this Postgraduate diploma. You are one click away from enroll”

This program oriented toward engineering professionals provides extensive knowledge in the field of robot communication thanks to the study plan developed by a specialized teaching team with extensive experience in this field.

A teaching, taught in a completely online mode, which also delves into Virtual and Augmented Reality. A field where advances in machine vision and image synthesis techniques are the main culprits of this progress. This 6-month program will provide students with the latest knowledge about this technology that allows, among other things, robots to perform the tasks that carry more risk (work at height, work in toxic environments, tasks near dangerous places such as volcanoes, etc.) in a fully teleoperated way.

Likewise, this specialization allows the engineering professional to transfer the mathematical models of the robots to the physical engines that we will find in the Virtual Reality tools and to detect the main points to carry out a 3D rendering.

All this, with a teaching system that allows the student's personal responsibilities to be compatible with a quality program that can be accessed at any time of the day. The only thing the professional needs is an electronic device with an internet connection to be able to access all the contents of the study plan from the first day.

Enroll now and grow professionally in the field of Virtual and Augmented Reality"

This Postgraduate diploma in Robot Interaction Tools 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 the self-assessment process can be carried out 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 in a Postgraduate diploma that will allow you to perfect all your knowledge in robot modeling 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.

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 real cases provided by the teaching team will be very useful and applied in the field of Engineering"

Obtain the optimal expressiveness of the robot according to its functionality and environment, and apply the latest techniques of emotional analysis"

The syllabus of this Postgraduate diploma has been proposed by a specialized team that seeks, as its first objective, the quality of the teaching received by the students. Thus, it has created a syllabus with video summaries of each topic, essential readings and videos in detail that facilitate the learning of the 3 modules in which all the content has been structured. With a theoretical-practical approach and updated material, the engineering professional will conclude this program with a complete specialization in the field of Robotics.

A library of multimedia resources and state-of-the-art academic teaching will provide you with the most up-to-date learning in the field of Robotics”

Module 1. Robotics: Robot Design and Modeling

1.1. Robotics and Industry 4.0

1.1.1. Robotics and Industry 4.0
1.1.2. Application Fields and Use Cases
1.1.3. Sub-Areas of Specialization in Robotics

1.2. Robot Hardware and Software Architectures

1.2.1. Hardware Architectures and Real-Time
1.2.2. Robot Software Architectures
1.2.3. Communication Models and Middleware Technologies
1.2.4. Robot Operating System (ROS) Software Integration

1.3. Mathematical Modeling of Robots

1.3.1. Mathematical Representation of Rigid Solids
1.3.2. Rotations and Translations
1.3.3. Hierarchical State Representation
1.3.4. Distributed Representation of the State in ROS (TF Library)

1.4. Robot Kinematics and Dynamics

1.4.1. Kinematics
1.4.2. Dynamics
1.4.3. Underactuated Robots
1.4.4. Redundant Robots

1.5. Robot Modeling and Simulation

1.5.1. Robot Modeling Technologies
1.5.2. Robot Modeling with URDF
1.5.3. Robot Simulation
1.5.4. Modeling with Gazebo Simulator

1.6. Robot Manipulators

1.6.1. Types of Manipulator Robots
1.6.2. Kinematics
1.6.3. Dynamics
1.6.4. Simulation

1.7. Terrestrial Mobile Robots

1.7.1. Types of Terrestrial Mobile Robots
1.7.2. Kinematics
1.7.3. Dynamics
1.7.4. Simulation

1.8. Aerial Mobile Robots

1.8.1. Types of Aerial Mobile Robots
1.8.2. Kinematics
1.8.3. Dynamics
1.8.4. Simulation

1.9. Aquatic Mobile Robots

1.9.1. Types of Aquatic Mobile Robots
1.9.2. Kinematics
1.9.3. Dynamics
1.9.4. Simulation

1.10. Bio-Inspired Robots

1.10.1. Humanoids
1.10.2. Robots with Four or More Legs
1.10.3. Modular Robots
1.10.4. Robots with Flexible Parts (Soft-Robotics)

Module 2. Application of Virtual and Augmented Reality Technologies to Robotics

2.1. Immersive Technologies in Robotics

2.1.1. Virtual Reality in Robotics
2.1.2. Augmented Reality in Robotics
2.1.3. Mixed Reality in Robotics
2.1.4. Difference between Realities

2.2. Construction of Virtual Environments

2.2.1. Materials and Textures
2.2.2. Lighting
2.2.3. Virtual Sound and Smell

2.3. Robot Modeling in Virtual Environments

2.3.1. Geometric Modeling
2.3.2. Physical Modeling
2.3.3. Model Standardization

2.4. Modeling of Robot Dynamics and Kinematics Virtual Physical Engines

2.4.1. Physical Motors. Typology
2.4.2. Configuration of a Physical Engine
2.4.3. Physical Motors in the Industry

2.5. Platforms, Peripherals and Tools Most Commonly Used in Virtual Reality

2.5.1. Virtual Reality Viewers
2.5.2. Interaction Peripherals
2.5.3. Virtual Sensors

2.6. Augmented Reality Systems

2.6.1. Insertion of Virtual Elements into Reality
2.6.2. Types of Visual Markers
2.6.3. Augmented Reality Technologies

2.7. Metaverse: Virtual Environments of Intelligent Agents and People

2.7.1. Avatar Creation
2.7.2. Intelligent Agents in Virtual Environments
2.7.3. Construction of Multi-User Environments for VR/AR

2.8. Creation of Virtual Reality Projects for Robotics

2.8.1. Phases of Development of a Virtual Reality Project
2.8.2. Deployment of Virtual Reality Systems
2.8.3. Virtual Reality Resources

2.9. Creating Augmented Reality Projects for Robotics

2.9.1. Phases of Development of an Augmented Reality Project
2.9.2. Deployment of Augmented Reality Projects
2.9.3. Augmented Reality Resources

2.10. Robot Teleoperation with Mobile Devices

2.10.1. Mixed Reality on Mobile Devices
2.10.2. Immersive Systems using Mobile Device Sensors
2.10.3. Examples of Mobile Projects

Module 3. Robot Communication and Interaction Systems

3.1. Speech Recognition: Stochastic Systems

3.1.1. Acoustic Speech Modeling
3.1.2. Hidden Markov Models
3.1.3. Linguistic Speech Modeling: N-Grams, BNF Grammars

3.2. Speech Recognition Deep Learning

3.2.1. Deep Neural Networks
3.2.2. Recurrent Neural Networks
3.2.3. LSTM Cells

3.3. Speech Recognition: Prosody and Environmental Effects

3.3.1. Ambient Noise
3.3.2. Multi-Speaker Recognition
3.3.3. Speech Pathologies

3.4. Natural Language Understanding: Heuristic and Probabilistic Systems

3.4.1. Syntactic-Semantic Analysis: Linguistic Rules
3.4.2. Comprehension Based on Heuristic Rules
3.4.3. Probabilistic Systems: Logistic Regression and SVM
3.4.4. Understanding Based on Neural Networks

3.5. Dialog Management: Heuristic/Probabilistic Strategies

3.5.1. Interlocutor’s Intention
3.5.2. Template-Based Dialog
3.5.3. Stochastic Dialog Management: Bayesian Networks

3.6. Dialog Management: Advanced Strategies

3.6.1. Reinforcement-Based Learning Systems
3.6.2. Neural Network-Based Systems
3.6.3. From Speech to Intention in a Single Network

3.7. Response Generation and Speech Synthesis

3.7.1. Response Generation: From Idea to Coherent Text
3.7.2. Speech Synthesis by Concatenation
3.7.3. Stochastic Speech Synthesis

3.8. Dialog Adaptation and Contextualization

3.8.1. Dialog Initiative
3.8.2. Adaptation to the Speaker
3.8.3. Adaptation to the Context of the Dialogue

3.9. Robots and Social Interactions: Emotion Recognition, Synthesis and Expression

3.9.1. Artificial Voice Paradigms: Robotic Voice and Natural Voice
3.9.2. Emotion Recognition and Sentiment Analysis
3.9.3. Emotional Voice Synthesis

3.10. Robots and Social Interactions: Advanced Multimodal Interfaces

3.10.1. Combination of Vocal and Tactile Interfaces
3.10.2. Sign Language Recognition and Translation
3.10.3. Visual Avatars: Voice to Sign Language Translation

Master the main techniques of Robot teleoperation with Mobile Devices thanks to this Postgraduate diploma”