AI 용어집
인공지능 완전 사전
Multi-Agent System
Computational system composed of multiple autonomous entities (agents) that interact to achieve common or individual goals in a shared environment.
Distributed Coordination
Mechanism allowing robots to collaborate without centralized control, where each entity makes decisions based on local and limited information.
Task Allocation
Algorithmic process of optimally assigning specific tasks to different robots in a team based on their capabilities and positions.
Formation Control
Control technique allowing a group of robots to maintain predefined relative positions while collectively moving through space.
Consensus Algorithm
Distributed protocol allowing robots to reach agreement on a common value or decision despite limited communications and delays.
Leader-Follower Architecture
Hierarchical structure where a leader robot guides the movement and decisions of other follower robots in a controlled group configuration.
Decentralized Control
Command strategy where each robot operates autonomously based on local information, without relying on a central authority for decision-making.
Inter-Robot Communication
Exchange of information between robots via wireless or visual protocols to coordinate actions and share sensory data.
Cooperative Path Planning
Algorithm for simultaneous trajectory planning for multiple robots avoiding mutual collisions while optimizing group objectives.
Heterogeneous Robot Team
Set of robots with different capabilities, sensors, and actuators working in synergy to accomplish complex tasks requiring various expertise.
Swarm Robotics
Discipline dealing with the coordination of large numbers of simple robots to collectively accomplish tasks through emergent behaviors.
Flocking Algorithm
Behavioral rules inspired by birds where robots maintain group cohesion while avoiding collisions and aligning with their neighbors.
Multi-Robot Localization
Simultaneous estimation of positions of multiple robots using mutual observations and shared information to improve localization accuracy.
Collective Perception
Fusion of sensory data from multiple robots to create a more complete and robust environmental understanding than that of a single robot.
Distributed SLAM
Collaborative version of SLAM where multiple robots jointly build a map of the environment while locating their respective positions.
Robot Swarming
Phenomenon where many simple robots self-organize into dynamic structures to accomplish tasks impossible for individual units.
Multi-Robot Task Scheduling
Time optimization of sequential or parallel task execution by a team of robots to maximize overall efficiency.
Cooperative Manipulation
Physical coordination between multiple robots to collaboratively manipulate objects requiring force or precision beyond individual capabilities.