A collective behavior in decentralized systems, inspired by social organisms, enabling robots to perform tasks collaboratively.

Tasks that require multiple robots to work together, enhancing efficiency and effectiveness in operations like search and rescue.

The process of designing step-by-step procedures for solving specific problems in robotics, crucial for coordinating swarm behavior.

Evaluating a swarm robotics system's efficiency and reliability through simulations and real-world scenarios.

Emergency management activities aimed at saving lives and property during and after disasters, where swarm robotics can play a pivotal role.

The ability of robots to work together seamlessly, ensuring synchronized actions and communication in collaborative tasks.

Instantaneous data exchange between robots, vital for effective coordination and decision-making during operations.

Virtual platforms used to test and validate swarm robotics systems before real-world deployment.

Biological examples of swarm behavior, such as ant colonies or flocks of birds, serving as inspiration for robotic algorithms.

The conceptual model that defines the structure, behavior, and more of a swarm robotics system.

Creating preliminary versions of a swarm robotics system to test concepts and functionalities before full-scale implementation.

A cyclical approach to software development, allowing for continuous improvement and refinement of algorithms.

The process of inspecting, cleaning, and modeling data to discover useful information for performance evaluation.

Creating documentation that guides users on how to operate and troubleshoot the swarm robotics system.

Methods and tools used to plan, execute, and oversee projects effectively, ensuring timely completion.

Processes where outputs of a system are circled back as inputs, facilitating continuous improvement.

Standardized procedures for assessing the functionality and performance of swarm robotics systems.

Established norms and criteria that guide the design and evaluation of robotics systems to ensure quality and safety.

The field of robotics focused on creating robots that can work alongside humans and other robots safely and efficiently.

The study of how humans and robots communicate and collaborate, crucial for designing user-friendly systems.

The ability of a swarm robotics system to adjust its behavior in response to changing environments or tasks.

Quantitative measures used to assess the performance and success of swarm robotics systems.

Moral principles guiding engineers in their professional conduct, particularly in the development of technologies.

Systems composed of multiple interacting agents (robots) that can solve problems collectively.

The capability of a swarm robotics system to expand and manage increased workloads or additional robots.

Using robotics to observe and collect data about the environment, often in disaster response scenarios.