Mobile Robot Navigation and Path Planning Strategies

🚀 Master Mobile Robot Navigation!

Join our comprehensive course on Mobile Robot Navigation and Path Planning Strategies. This program is designed for engineers and robotics enthusiasts looking to enhance their skills in autonomous navigation. Explore key concepts such as mapping, localization, and various path planning algorithms. Gain hands-on experience with real-world applications and insights from industry experts. Earn a recognized certification to elevate your career in robotics. Enroll today and navigate the future of mobile robotics!

  • 6600 GBP$ 10 hours
  • Instructor

City
Duration
Year
Venue Start Date End Date Net Fees Details & Registration
Madrid July 28, 2025 August 1, 2025 6600 GBP PDF Register
Madrid September 1, 2025 September 5, 2025 6600 GBP PDF Register
Madrid September 29, 2025 October 3, 2025 6600 GBP PDF Register
Madrid October 6, 2025 October 10, 2025 6600 GBP PDF Register
Madrid November 3, 2025 November 7, 2025 6600 GBP PDF Register
Madrid December 8, 2025 December 12, 2025 6600 GBP PDF Register
Madrid December 15, 2025 December 19, 2025 6600 GBP PDF Register

About corse

The field of mobile robotics has witnessed remarkable advancements, driven by the demand for automation and intelligent systems in various sectors. Mobile robots are now capable of navigating complex environments and performing tasks that were once thought to be the exclusive domain of humans. This training course on Mobile Robot Navigation and Path Planning Strategies is designed to equip participants with the theoretical foundations and practical skills necessary to design and implement efficient navigation systems for mobile robots. By exploring the interplay between algorithms, sensor technologies, and real-world applications, attendees will gain a comprehensive understanding of the challenges and solutions in this dynamic field. As the demand for autonomous systems continues to grow, professionals equipped with the skills in navigation and path planning will become invaluable assets in their organizations. This course aims to provide participants with hands-on experience, enabling them to tackle real-world challenges in robot navigation. Through a combination of lectures, practical exercises, and case studies, attendees will learn the essential principles and techniques that underpin effective mobile robot navigation.  

The Objectives

  • Understand the theoretical principles of mobile robot navigation.
  • Explore various path planning algorithms and their applications.
  • Gain hands-on experience with simulation tools for mobile robots.
  • Analyze sensor technologies and their role in navigation.
  • Develop the ability to evaluate and optimize navigation strategies.
  • Enhance problem-solving skills through real-world case studies.

Training Methodology

The course will employ a blend of instructional methods including lectures, interactive discussions, group activities, and practical exercises. Each session will incorporate hands-on simulations and coding exercises to reinforce theoretical concepts. Participants will also engage in collaborative projects that encourage teamwork and knowledge sharing.

WHO SHOULD ATTEND

This course is designed for engineers, researchers, and professionals in the robotics field, as well as students interested in mobile robotics. Individuals involved in system design, software development, and automation will find this training particularly beneficial.

Course Outlines

Day 1
  • Introduction to Mobile Robotics
  • Overview of Navigation Systems
  • Types of Mobile Robots
  • Key Components of Navigation
  • Challenges in Mobile Robot Navigation
  • Introduction to Path Planning Concepts
Day 2
  • Sensor Technologies for Navigation
  • Mapping Techniques and SLAM
  • Localization Methods
  • Data Fusion Techniques
  • Practical Session: Sensor Integration
  • Case Studies on Navigation Systems
Day 3
  • Path Planning Algorithms Overview
  • A* Algorithm and Variants
  • Dijkstra’s Algorithm
  • Rapidly-exploring Random Trees (RRT)
  • Practical Session: Implementing A*
  • Discussion: Choosing the Right Algorithm
Day 4
  • Dynamic Path Planning Techniques
  • Real-time Navigation Strategies
  • Obstacle Avoidance Methods
  • Practical Session: Dynamic Environments
  • Case Studies: Real-world Applications
  • Group Activity: Designing a Navigation System
Day 5
  • Evaluation Metrics for Navigation
  • Performance Analysis of Navigation Systems
  • Simulation Tools for Mobile Robots
  • Practical Session: Using Simulation Tools
  • Optimization Techniques for Path Planning
  • Discussion: Future Trends in Navigation

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
   
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