Chapter 8: Swarm Robotics and Multi-Agent Systems
35 sections
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Sections
Navigate through the learning materials and practice exercises.
What we have learnt
- Swarm intelligence emerges from local interactions of agents without centralized control.
- Decentralized control enhances scalability and fault tolerance in robotic systems.
- Applications of swarm robotics span diverse fields including agriculture, surveillance, and search and rescue.
Key Concepts
- -- Swarm Intelligence
- The collective behavior that emerges from local interactions of simple agents.
- -- Decentralization
- A system structure where no single entity controls the entire operation; behavior is distributed among agents.
- -- Flocking
- A behavior inspired by birds that includes alignment, cohesion, and separation among a group of agents.
- -- Consensus Algorithm
- Protocols that enable multiple agents to reach an agreement on shared states like velocity and position.
Additional Learning Materials
Supplementary resources to enhance your learning experience.