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Plan Szkolenia
Introduction to Multi-Robot Systems
- Overview of multi-robot coordination and control architectures
- Applications in industry, research, and autonomous systems
- Comparison between centralized and decentralized systems
Fundamentals of Swarm Intelligence
- Principles of collective intelligence and self-organization
- Biological inspiration: ants, bees, and flocks
- Emergent behavior and robustness in swarm systems
Communication and Coordination
- Inter-robot communication models and protocols
- Consensus algorithms and distributed agreement
- Task allocation and resource sharing strategies
Control and Formation Strategies
- Leader-follower, behavior-based, and virtual structure control
- Flocking, coverage, and pursuit–evasion algorithms
- Formation maintenance under noisy communication conditions
Swarm Optimization Algorithms
- Particle Swarm Optimization (PSO) and Ant Colony Optimization (ACO)
- Applications to path planning and dynamic task assignment
- Hybrid approaches combining learning and swarm heuristics
Simulation and Implementation
- Building multi-robot simulations in ROS 2 and Gazebo
- Implementing swarm behaviors with Python or C++
- Debugging and analyzing emergent dynamics
Advanced Topics in Swarm Robotics
- Scalability, fault tolerance, and communication resilience
- Machine learning integration for adaptive coordination
- Human-swarm interaction and supervisory control
Hands-on Project: Design and Simulation of a Swarm Coordination System
- Defining objectives and constraints for a multi-robot mission
- Implementing swarm coordination algorithms
- Evaluating performance metrics and robustness
Summary and Next Steps
Wymagania
- Strong understanding of robotics fundamentals
- Experience with Python programming and ROS
- Familiarity with algorithms for motion planning and control
Audience
- Robotics researchers focusing on distributed and cooperative systems
- System architects designing large-scale multi-agent robotic solutions
- Advanced developers working on autonomous coordination and swarm algorithms
28 godzin
Opinie uczestników (2)
Dobrze omówione przez trenera przykłady ćwiczeń
Mariusz - Politechnika Opolska
Szkolenie - Artificial Intelligence (AI) for Mechatronics
jego wiedzy i wykorzystania sztucznej inteligencji dla Robotics w przyszłości.
Ryle - PHILIPPINE MILITARY ACADEMY
Szkolenie - Artificial Intelligence (AI) for Robotics
Przetłumaczone przez sztuczną inteligencję
