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Course Outline
Foundations of Path Planning in Autonomous Vehicles
- Core principles and key challenges in path planning
- Practical applications in autonomous driving and robotics
- Comparison of traditional versus modern planning methods
Graph-Based Path Planning Methodologies
- Introduction to A* and Dijkstra’s algorithms
- Application of A* for grid-based navigation
- Dynamic adaptations: Using D* and D* Lite in evolving environments
Sampling-Based Path Planning Techniques
- Exploring random sampling methods: RRT and RRT*
- Methods for path smoothing and optimisation
- Addressing non-holonomic constraints
Optimization-Driven Path Planning
- Defining path planning as an optimisation problem
- Trajectory optimisation via nonlinear programming
- Utilising gradient-based and gradient-free optimisation strategies
Learning-Driven Path Planning
- Applying Deep Reinforcement Learning (DRL) for path optimisation
- Combining DRL with conventional algorithms
- Adaptive planning strategies using machine learning models
Managing Dynamic and Uncertain Environments
- Reactive planning strategies for immediate response
- Techniques for obstacle avoidance and predictive control
- Using perception data to enable adaptive navigation
Assessment and Benchmarking of Path Planning Algorithms
- Key metrics for path efficiency, safety, and computational load
- Simulation and testing using ROS and Gazebo
- Case study: Analysing RRT* versus D* in complex situations
Real-World Applications and Case Studies
- Path planning solutions for autonomous delivery robots
- Implementation in self-driving cars and UAVs
- Practical project: Building an adaptive path planner with RRT*
Requirements
- Strong proficiency in Python programming
- Practical experience with robotics systems and control algorithms
- Working knowledge of autonomous vehicle technologies
Target Audience
- Robotics engineers with a focus on autonomous systems
- AI researchers concentrated on navigation and path planning
- Advanced developers involved in self-driving technology projects
21 Hours
Custom Corporate Training
Training solutions designed exclusively for businesses.
- Customized Content: We adapt the syllabus and practical exercises to the real goals and needs of your project.
- Flexible Schedule: Dates and times adapted to your team's agenda.
- Format: Online (live), In-company (at your offices), or Hybrid.
Price per private group, online live training, starting from 3900 € + VAT*
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