Course Outline
Introduction to Multi-Robot Systems
- Overview of coordination and control architectures for multi-robot setups
- Applications across industry, research, and autonomous systems
- Comparing centralized versus decentralized system approaches
Fundamentals of Swarm Intelligence
- Core principles of collective intelligence and self-organization
- Bio-inspired examples: ants, bees, and bird flocks
- Emergent behavior and system robustness in swarm contexts
Communication and Coordination
- Models and protocols for inter-robot communication
- Consensus algorithms and achieving distributed agreement
- Strategies for task allocation and resource sharing
Control and Formation Strategies
- Leader-follower, behavior-based, and virtual structure control methods
- Algorithms for flocking, coverage, and pursuit-evasion scenarios
- Maintaining formation integrity under noisy communication conditions
Swarm Optimization Algorithms
- Particle Swarm Optimization (PSO) and Ant Colony Optimization (ACO)
- Application to path planning and dynamic task assignment
- Hybrid methods integrating learning with swarm heuristics
Simulation and Implementation
- Developing multi-robot simulations using ROS 2 and Gazebo
- Implementing swarm behaviors in Python or C++
- Debugging processes and analyzing emergent dynamics
Advanced Topics in Swarm Robotics
- Scalability, fault tolerance, and communication resilience
- Integrating machine learning for adaptive coordination
- Human-swarm interaction and supervisory control mechanisms
Practical Project: Designing and Simulating a Swarm Coordination System
- Defining objectives and constraints for a specific multi-robot mission
- Implementing coordination algorithms for swarm behavior
- Assessing performance metrics and system robustness
Summary and Next Steps
Requirements
- A solid grasp of robotics fundamentals
- Proficiency in Python programming and ROS
- Knowledge of algorithms related to motion planning and control
Target Audience
- Robotics researchers specializing in distributed and cooperative systems
- System architects developing large-scale multi-agent robotic solutions
- Senior developers engaged in autonomous coordination and swarm algorithm development
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 6400 € + VAT*
Contact us for an exact quote and to hear our latest promotions
Testimonials (2)
Supply of the materials (virtual machine) to get straight into the excersises, and the explanation of the Ros2 core. Why things work a certain way.
Arjan Bakema
Course - Autonomous Navigation & SLAM with ROS 2
its knowledge and utilization of AI for Robotics in the Future.
