A university degree that will allow you to solve the main problems of Robotics Planning. Enroll now”

This Diploma is aimed at engineering professionals who wish to prosper in the field of robotics under the guidance of a specialized teaching team with a long history in this sector, which is currently on the rise. A teaching in which he will particularly delve into the algorithms used for robot planning.

A program where students, thanks to the extensive didactic material, can delve into the planning of tasks and movements that allow robots or groups of robots to use this information to achieve their goals. Starting from classical planning algorithms, the engineering professional will begin by means of a practical approach to solve the basic problems faced by any robot that wishes to be autonomous in structured and unstructured environments.

This teaching will allow you to plan coordinated movements between groups of robots, establish the most appropriate strategies to assign pending tasks or the activation of sensors that facilitate the perception of the environment by the machines. All this with a university degree in a completely online mode, which will allow you to access from the first day to the full agenda.

An opportunity provided by TECH Global University to professionals who wish to advance their careers while acquiring advanced learning. They only need a cell phone, a computer or laptop with an Internet connection to access all the multimedia content. In this way, without fixed schedules, and with a Relearning learning system, students will acquire an agile and enjoyable knowledge, which will help them to prosper in a booming industry.

Get 24-hour access to the most up-to-date multimedia material on the robotics industry and learn how to plan with algorithms now”

This Postgraduate certificate in Robots Planning Algorithms contains the most complete and up-to-date educational program on the market. Its most outstanding features are:

• 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
• The availability of access to the contents from any fixed or portable device with an internet connection

Develop with this program the most advanced techniques for environment modeling in robotics. Enroll now”

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.

A 100% online teaching that will allow you to make the most appropriate decisions in the application of Robotics Planning Techniques"

Enroll now in a degree that will allow you to progress in the field of robotics, thanks to the specialized team that teaches it"

The syllabus of this Postgraduate certificate has been elaborated strict Stated of the teaching team that taught this degree at TECH Global University. Thus, the engineering professional who accesses this degree will have at his disposal video summaries, specialized readings and real case studies that will provide him with a wide knowledge about Robot Planning Algorithms. In this way, it will delve into the main trajectory problems in mobile robots, planning in high-dimensional robots, robot coordination, planning by decision and by reinforcement learning. Educational material that can be accessed 24 hours a day and from any device with an internet connection.

This Diploma will allow you to deepen your knowledge of the Theory of Planning by Decision and to apply the most appropriate techniques”

Module 1. Robot Planning Algorithms

1.1. Classical Planning Algorithms

1.1.1. Discrete Planning: State Space
1.1.2. Planning Problems in Robotics. Robotic Systems Models
1.1.3. Classification of Planners

1.2. The Trajectory Planning Problem in Mobile Robots

1.2.1. Forms of Environment Representation: Graphs
1.2.2. Search Algorithms in Graphs
1.2.3. Introduction of Costs in Networks
1.2.4. Search Algorithms in Heavy Networks
1.2.5. Algorithms with any Angle Approach

1.3. Planning in High Dimensional Robotic Systems

1.3.1. High Dimensionality Robotics Problems: Manipulators
1.3.2. Direct/Inverse Kinematic Model
1.3.3. Sampling Planning Algorithms PRM and RRT
1.3.4. Planning Under Dynamic Constraints

1.4. Optimal Sampling Planning

1.4.1. Problem of Sampling-Based Planners
1.4.2. RRT* Probabilistic Optimality Concept
1.4.3. Reconnection Step: Dynamic Constraints
1.4.4. CForest. Parallelizing Planning

1.5. Real Implementation of a Motion Planning System

1.5.1. Global Planning Problem. Dynamic Environments
1.5.2. Cycle of Action, Sensorization. Acquisition of Information from the Environment
1.5.3. Local and Global Planning

1.6. Coordination in Multi-Robot Systems I: Centralized System

1.6.1. Multirobot Coordination Problem
1.6.2. Collision Detection and Resolution: Trajectory Modification with Genetic Algorithms
1.6.3. Other Bio-Inspired Algorithms: Particle Swarm and Fireworks
1.6.4. Collision Avoidance by Choice of Maneuver Algorithm

1.7. Coordination in Multi-Robot Systems II: Distributed Approaches I

1.7.1. Use of Complex Objective Functions
1.7.2. Pareto Front
1.7.3. Multi-Objective Evolutionary Algorithms

1.8. Coordination in Multi-Robot Systems III: Distributed Approaches II

1.8.1. Order 1 Planning Systems
1.8.2. ORCA Algorithm
1.8.3. Addition of Kinematic and Dynamic Constraints in ORCA

1.9. Decision Planning Theory

1.9.1. Decision Theory
1.9.2. Sequential Decision Systems
1.9.3. Sensors and Information Spaces
1.9.4. Planning for Uncertainty in Sensing and Actuation

1.10. Reinforcement Learning Planning Systems

1.10.1. Obtaining the Expected Reward of a System
1.10.2. Mean Reward Learning Techniques
1.10.3. Inverse Reinforcement Learning

Take the plunge and be the next creator of the mobile robot capable of reaching and performing tasks where humans cannot. Enroll now”