Swarm Robotics Systems : Programming Groups of Robots to Explore a Space and Solve Problems Collectively
Overview
Learn how groups of simple robots cooperate, communicate, explore environments, and solve problems together.
A single advanced robot can perform impressive tasks, but many real-world problems require wider coverage, fault tolerance, and cooperation. Swarm robotics takes a different approach: instead of depending on one complex machine, engineers create groups of smaller robots that follow simple rules, share information, and work toward a common goal.
Swarm Robotics Systems provides a practical introduction to designing, programming, and testing robot swarms. You will learn how individual robot actions combine into intelligent group behaviour, from basic movement rules to coordinated exploration, mapping, task allocation, and collective decision-making.
This beginner-friendly guide will help you:
- Understand what makes a group of robots a true swarm
- Compare centralised, decentralised, and hybrid swarm architectures
- Learn how simple local rules create complex group behaviour
- Understand the sense-decide-act cycle used by swarm robots
- Design individual robot behaviours using sensors, decisions, and actions
- Build simple robot simulations using Python before working with physical hardware
- Create communication systems for sharing robot status, discoveries, and warnings
- Design message formats, robot identities, and local communication methods
- Program movement behaviours, obstacle avoidance, and collision prevention
- Create formations including line, circle, grid, leader-follower, and leaderless movement
- Develop exploration and area-coverage strategies for unknown environments
- Understand task allocation methods for distributing work among robots
- Build systems where robots share sensor information and combine measurements
- Create shared maps using occupancy grids and cooperative navigation methods
- Understand consensus methods for swarm decisions and group choices
- Design fault-tolerant systems that continue working when robots fail
- Test, measure, debug, and improve swarm behaviour
- Build a low-cost physical robot swarm using controllers, motors, sensors, communication hardware, and batteries
- Create a complete search-and-report swarm project from simulation to practical implementation
The book starts with individual robot behaviour and gradually develops into complete swarm systems. You will move from understanding robot hardware and programming rules to communication, coordination, exploration, mapping, collective decisions, reliability, and physical deployment.
Python is used throughout the examples because it provides a clear learning path for beginners. A two-dimensional simulation environment allows you to test swarm ideas safely before introducing real robots.
No previous swarm robotics experience is required. The concepts are explained step by step with practical examples, engineering principles, simulations, and project-based learning.
Whether you are a robotics student, programmer, engineer, researcher, maker, or automation enthusiast, this book provides the foundation needed to understand how autonomous robot groups cooperate and solve problems collectively.
Move beyond programming one robot at a time and discover how simple machines can achieve powerful results through cooperation.This item is Non-Returnable
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Details
- ISBN-13: 9798191102962
- ISBN-10: 9798191102962
- Publisher: Independently Published
- Publish Date: August 2026
- Dimensions: 9 x 6 x 0.44 inches
- Shipping Weight: 0.48 pounds
- Page Count: 174
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