Discover the latest advances in Robotics and start up any project you have in mind with this Postgraduate diploma”

Automation, the search for the reduction of time when manufacturing or performing tasks, as well as the optimization of profits of companies has caused Robotics to develop extensively in recent decades. A momentum that accompanies professionals from various areas such as Information Technology, who find in this sector ample job opportunities.

In this expansion scenario, Industry 4.0 arises, which is mainly characterized by modernization and the use of the latest technology, in which manual processes hardly exist. For this reason, highly qualified personnel oriented to technological progress are in demand in the sector.

This Postgraduate diploma in Robotics in Industry 4.0 addresses the fundamental pieces of this field, where special emphasis will be placed on the design and modeling of the robot, automatic control systems in Robotics, with great impact on industrial processes. Thus, during the 450 teaching hours of this program, students will achieve a deep knowledge guided at all times by a teaching team with extensive professional experience in this field.

An excellent opportunity that TECH offers to all IT professionals who also seek to combine their personal responsibilities with an elite education available to all. You will have at your disposal an extensive library of multimedia resources with video summaries of each topic, essential readings and videos in detail that you can access at any time of the day through an electronic device with internet connection.

Enroll in a 100% online program that will allow you to program and configure equipment in industrial plants”

This Postgraduate diploma in Robotics in Industry 4.0 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

A highly qualified teaching team will guide you through the 6 months of this program, so that you can immerse yourself with guarantees in the Robotics 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.

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 state-of-the-art control techniques such as predictive or based on machine learning”

Be able to create terrestrial and aerial mobile robots or simulate aquatic mobile robots with this Postgraduate diploma”

Students who access this Postgraduate diploma will find a comprehensive and up-to-date syllabus on Robotics in Industry 4.0, as well as important additional material in different formats that will allow them to acquire a more detailed and in-depth knowledge in those sections that they consider to be of greater interest. All this throughout the 3 modules of this online Postgraduate diploma.

Discover a wide range of Robotics applications and succeed with your own project thanks to this Postgraduate diploma”

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. Robotics in the Automation of Industrial Processes

2.1. Design of Automated Systems

2.1.1. Hardware Architectures
2.1.2. Programmable Logic Controllers
2.1.3. Industrial Communication Networks

2.2. Advanced Electrical Design I: Automation

2.2.1. Design of Electrical Panels and Symbology
2.2.2. Power and Control Circuits Harmonics
2.2.3. Protection and Grounding Elements

2.3. Advanced Electrical Design II: Determinism and Safety

2.3.1. Machine Safety and Redundancy
2.3.2. Safety Relays and Triggers
2.3.3. Safety PLCs
2.3.4. Safe Networks

2.4. Electrical Actuation

2.4.1. Motors and Servomotors
2.4.2. Frequency Inverters and Controllers
2.4.3. Electrically Actuated Industrial Robotics

2.5. Hydraulic and Pneumatic Actuation

2.5.1. Hydraulic Design and Symbology
2.5.2. Pneumatic Design and Symbology
2.5.3. ATEX Environments in Automation

2.6. Transducers in Robotics and Automation

2.6.1. Position and Velocity Measurement
2.6.2. Force and Temperature Measurement
2.6.3. Presence Measurement
2.6.4. Vision Sensors

2.7. Programming and Configuration of Programmable Logic Controllers PLCs

2.7.1. PLC Programming: LD
2.7.2. PLC Programming: ST
2.7.3. PLC Programming: FBD and CFC
2.7.4. PLC Programming: SFC

2.8. Programming and Configuration of Equipment in Industrial Plants

2.8.1. Programming of Drives and Controllers
2.8.2. HMI Programming
2.8.3. Programming of Manipulator Robots

2.9. Programming and Configuration of Industrial Computer Equipment

2.9.1. Programming of Vision Systems
2.9.2. SCADA/Software Programming
2.9.3. Network Configuration

2.10. Automation Implementation

2.10.1. State Machine Design
2.10.2. Implementation of State Machines in PLCs
2.10.3. Implementation of Analog PID Control Systems in PLCs
2.10.4. Automation Maintenance and Code Hygiene
2.10.5. Automation and Plant Simulation

Module 3. Automatic Control Systems in Robotics

3.1. Analysis and Design of Nonlinear Systems

3.1.1. Analysis and Modeling of Nonlinear Systems
3.1.2. Feedback Control
3.1.3. Linearization by Feedback

3.2. Design of Control Techniques for Advanced Non-linear Systems

3.2.1. Sliding Mode control
3.2.2. Lyapunov and Backstepping Control
3.2.3. Control Based on Passivity

3.3. Control Architectures

3.3.1. The Robotics Paradigm
3.3.2. Control Architectures
3.3.3. Applications and Examples of Control Architectures

3.4. Motion Control for Robotic Arms

3.4.1. Kinematic and Dynamic Modeling
3.4.2. Control in Joint Space
3.4.3. Control in Operational Space

3.5. Actuator Force Control

3.5.1. Force Control
3.5.2. Impedance Control
3.5.3. Hybrid Control

3.6. Terrestrial Mobile Robots

3.6.1. Equations of Motion
3.6.2. Control Techniques for Terrestrial Robots
3.6.3. Mobile Manipulators

3.7. Aerial Mobile Robots

3.7.1. Equations of Motion
3.7.2. Control Techniques in Aerial Robots
3.7.3. Aerial Manipulation

3.8. Control Based on Machine Learning Techniques

3.8.1. Control Using Supervised Learning
3.8.2. Control Using Reinforced Learning
3.8.3. Control Using Non-Supervised Learning

3.9. Vision-Based Control

3.9.1. Position-Based Visual Servoing
3.9.2. Image-Based Visual Servoing
3.9.3. Hybrid Visual Servoing

3.10. Predictive Control

3.10.1. Models and State Estimation
3.10.2. MPC Applied to Mobile Robots
3.10.3. MPC Applied to UAVs

A program that will give you the opportunity to delve into the Robotics industry”