🐝Swarm Intelligence and Robotics

Unit 1 – Swarm Intelligence Fundamentals

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1.1

Definition and principles of swarm intelligence

7 min read

1.2

Historical development of swarm intelligence

9 min read

1.3

Key characteristics of swarm systems

8 min read

1.4

Swarm intelligence in nature

6 min read

1.5

Artificial swarm intelligence

8 min read

Unit 2 – Biological Inspirations for Swarm Robotics

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2.1

Ant colonies

9 min read

2.2

Bee swarms

7 min read

2.3

Bird flocking

9 min read

2.4

Fish schooling

10 min read

2.5

Bacterial colonies

9 min read

Unit 3 – Swarm Algorithms: Optimization Techniques

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3.1

Particle swarm optimization

10 min read

3.2

Ant colony optimization

9 min read

3.3

Artificial bee colony algorithm

9 min read

3.4

Firefly algorithm

8 min read

3.5

Bacterial foraging optimization

9 min read

Unit 4 – Multi-Robot Systems: Design & Architecture

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4.1

Centralized vs. decentralized control

6 min read

4.2

Homogeneous vs. heterogeneous swarms

9 min read

4.3

Scalability in swarm systems

9 min read

4.4

Robustness and fault tolerance

8 min read

4.5

Swarm topologies

11 min read

Unit 5 – Robotic Swarms: Collective Decision-Making

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5.1

Consensus algorithms

9 min read

5.2

Quorum sensing

8 min read

5.3

Collective perception

10 min read

5.4

Distributed problem-solving

10 min read

5.5

Swarm cognition

6 min read

Unit 6 – Swarm Communication & Coordination

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6.1

Local interactions

13 min read

6.2

Stigmergy

8 min read

6.3

Pheromone-based communication

9 min read

6.4

Flocking and formation control

13 min read

6.5

Information sharing in swarms

11 min read

Unit 7 – Task Allocation in Swarm Intelligence

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7.1

Self-organized task allocation

6 min read

7.2

Market-based approaches

7 min read

7.3

Threshold-based models

10 min read

7.4

Learning and adaptation in task allocation

10 min read

7.5

Multi-task swarms

6 min read

Unit 8 – Self-organization in Swarm Intelligence

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8.1

Principles of self-organization

7 min read

8.2

Emergence in complex systems

7 min read

8.3

Pattern formation

7 min read

8.4

Collective transport

8 min read

8.5

Swarm aggregation and dispersion

5 min read

Unit 9 – Swarm Robotics: Real-World Applications

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9.1

Search and rescue

12 min read

9.2

Environmental monitoring

9 min read

9.3

Exploration and mapping

16 min read

9.4

Agriculture and precision farming

10 min read

9.5

Swarm-based manufacturing

8 min read

Unit 10 – Swarm Systems: Sensing and Perception

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10.1

Distributed sensing

9 min read

10.2

Sensor fusion

7 min read

10.3

Collective perception

7 min read

10.4

Environmental mapping

9 min read

10.5

Obstacle detection and avoidance

10 min read

Unit 11 – Swarm Robotics: Hardware and Platforms

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11.1

Miniaturization and micro-robotics

9 min read

11.2

Modular robotics

10 min read

11.3

Soft robotics in swarms

10 min read

11.4

Energy efficiency and power management

10 min read

11.5

Swarm simulation platforms

10 min read

Unit 12 – Swarm Robotics: Ethics and Future Challenges

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12.1

Safety and security in swarm systems

10 min read

12.2

Privacy concerns

8 min read

12.3

Ethical decision-making in autonomous swarms

8 min read

12.4

Human-swarm interaction

14 min read

12.5

Future directions in swarm robotics research

11 min read
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About FiveableBlogCareersTestimonialsCode of ConductTerms of UsePrivacy PolicyCCPA Privacy Policy
Resources
Cram ModeAP Score CalculatorsStudy GuidesPractice QuizzesGlossaryCrisis Text LineRequest a Feature
© 2024 Fiveable Inc. All rights reserved.
AP® and SAT® are trademarks registered by the College Board, which is not affiliated with, and does not endorse this website.
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