Specialize in Industry 4.0 and you will be able to meet the challenge of improving communication in the field of Robotics”

Current mechanisms for interacting with robots use natural language, although it is common to reduce communication with robots to a minimal component with preprogrammed commands, using manual interfaces such as joysticks, meaning mobile applications become simpler. However, the current challenge in the field of Robotics is to achieve a much more fluid dialog between the robot and the human being.

This Postgraduate diploma provides the IT professional with all the necessary tools to achieve the mechanisms of recognition and synthesis of emotions oriented to provide the robot with a certain emotional intelligence on the one hand, and on the other, to make it capable of reacting with different emotions depending on the reactions of the users.

A challenge that will be possible thanks to the application of all the learning achieved in this program and with the help of a team of professionals specialized in the field of Robotics. This program also includes an extensive content that covers virtual and augmented reality technologies, as well as the design and modeling of robots.

This online program offers students an opportunity to achieve a preparation that will allow them to progress in their career in a field that requires creativity and highly qualified personnel. This program uses a Relearning system and multimedia content that will favor the acquisition of knowledge in an agile and comfortable way.

Join a program where you will master the modeling and simulation of terrestrial, aerial or aquatic manipulator robots”

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 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

Boost your career with a program that adapts to you. Without fixed schedules, or in-person classes”

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 professional must try to solve the different professional practice situations that are presented throughout the academic course. This will be done with the help of an innovative system of interactive videos made by renowned experts.

Enroll now in a program that will show you all the possibilities of Robotics and Industry 4.0"

Delve into the most advanced strategies in programming dialogs with robots"

The syllabus of this program has been prepared by an expert teaching team in the area of Robotics with the aim that students gain up-to-date knowledge in this field. To this end, a syllabus has been designed which was structured in 3 modules that will make an immersion in Industry 4.0, to subsequently, analyze the Virtual Reality and Artificial Intelligence widely demanded, to finally address in detail the communication between the robot and the human being. The video summaries of each topic and the specialized readings will help the students in the course of this program.

Create your own Augmented Reality for Robotics projects with this Postgraduate diploma. Enroll now”

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. Bioinspired 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

Set yourself the challenge and improve verbal and emotional communications in robots. Enroll now”