Autonomous Systems: Design and Control Principles

🌐 Explore the Future of Autonomous Systems!

Join our comprehensive course on Autonomous Systems: Design and Control Principles. Designed for engineers and researchers, this program covers the fundamental concepts of designing and controlling autonomous systems. Learn about sensor integration, control algorithms, and system optimization from industry experts. Gain practical skills through hands-on projects and earn a recognized certification to advance your career in automation and robotics. Enroll today and be at the forefront of autonomous technology!

  • 6300 GBP$ 7 hours
  • Instructor

City
Duration
Year
Venue Start Date End Date Net Fees Details & Registration
Barcelona July 28, 2025 August 1, 2025 6300 GBP PDF Register
Barcelona September 1, 2025 September 5, 2025 6300 GBP PDF Register
Barcelona September 29, 2025 October 3, 2025 6300 GBP PDF Register
Barcelona October 6, 2025 October 10, 2025 6300 GBP PDF Register
Barcelona November 3, 2025 November 7, 2025 6300 GBP PDF Register
Barcelona December 8, 2025 December 12, 2025 6300 GBP PDF Register
Barcelona December 15, 2025 December 19, 2025 6300 GBP PDF Register

About corse

The field of autonomous systems has emerged as a pivotal area of study and application, driven by advancements in technology and engineering. This training course is designed to provide participants with a comprehensive understanding of the design and control principles underlying autonomous systems. As industries increasingly adopt automation, the demand for skilled professionals proficient in these technologies continues to rise. Participants will delve into the theoretical foundations as well as practical applications, equipping themselves with the knowledge necessary to navigate the complexities of autonomous systems in various environments. Throughout the course, attendees will engage with expert instructors who bring a wealth of experience in the field. The curriculum is structured to promote interactive learning, enabling participants to apply concepts in real-world scenarios. By the end of the training, attendees will have a robust understanding of the mechanisms that drive autonomous systems, as well as the skills needed to design and control these systems effectively.  

The Objectives

  • Understand the fundamental principles of autonomous systems.
  • Explore design methodologies for autonomous systems.
  • Analyze control strategies applicable to various autonomous applications.
  • Apply theoretical knowledge to practical scenarios.
  • Enhance problem-solving skills in the context of autonomous system design.
  • Foster collaboration and knowledge sharing among participants.

Training Methodology

The training employs a mix of theoretical lectures, hands-on workshops, group discussions, and case studies to ensure a well-rounded learning experience. Participants will engage in collaborative projects, enabling them to apply theoretical concepts in practical settings. Assessments will be conducted to gauge understanding and application of the material.

WHO SHOULD ATTEND

This course is ideal for engineers, researchers, and professionals involved in robotics, automation, mechatronics, and related fields. It is also suited for project managers and decision-makers seeking to understand the implications of autonomous systems in their organizations.

Course Outlines

Day 1: Introduction to Autonomous Systems
  • Overview of autonomous systems and their applications.
  • Key components of autonomous systems.
  • Historical evolution and current trends.
  • Fundamental concepts in automation and control.
  • Introduction to system dynamics and modeling.
  • Discussion on ethical considerations in autonomous technology.
Day 2: Design Principles of Autonomous Systems
  • Design methodologies for autonomous systems.
  • System requirements and specifications.
  • Functional decomposition and modular design.
  • Trade-off analysis in system design.
  • Introduction to simulation tools for design.
Day 3: Control Strategies for Autonomous Systems
  • Overview of control theory in automation.
  • Feedback control mechanisms.
  • Path planning and navigation algorithms.
  • Adaptive control systems.
  • Introduction to machine learning in control.
  • Practical exercises in control algorithm implementation.
Day 4: Sensing and Perception
  • Role of sensors in autonomous systems.
  • Types of sensors and their applications.
  • Sensor fusion techniques.
  • Challenges in perception and environment understanding.
  • Practical workshop on sensor integration.
  • Case studies on perception in autonomous vehicles.
Day 5: Communication and Networking
  • Importance of communication in autonomous systems.
  • Overview of communication protocols.
  • Network architectures for autonomous systems.
  • Security considerations in system communication.
  • Practical exercises on data transmission.
  • Real-world applications of communication technologies.

Training Method?

  • Pre-assessment
  • Live group instruction
  • Use of real-world examples, case studies and exercises
  • Interactive participation and discussion
  • Power point presentation, LCD and flip chart
  • Group activities and tests
  • Each participant receives a copy of the presentation
  • Slides and handouts
   

Training Method?

The course agenda will be as follows:
  • Technical Session 30-10.00 am
  • Coffee Break 00-10.15 am
  • Technical Session 15-12.15 noon
  • Coffee Break 15-12.45 pm
  • Technical Session 45-02.30 pm
  • Course Ends 30 pm
   
6600 GBP$ 8 minutes
Madrid , Spain
6600 GBP$ 20 minutes
Paris , France
5500 GBP$ 47 minutes
Dubai , United Arab Emirates
6100 GBP$ 1 hour
Istanbu , Turkey
7500 GBP$ 1 hour
London , United Kingdom
6300 GBP$ 1 hour
Barcelona , Spain