Principles of artificial intelligence
Principles of artificial intelligence
Flocks, herds and schools: A distributed behavioral model
SIGGRAPH '87 Proceedings of the 14th annual conference on Computer graphics and interactive techniques
International Journal of Robotics Research
From Tom Thumb to the Dockers: some experiments with foraging robots
Proceedings of the second international conference on From animals to animats 2 : simulation of adaptive behavior: simulation of adaptive behavior
Collective robotics: from social insects to robots
Adaptive Behavior
Multiagent systems: an emerging subdiscipline of AI
ACM Computing Surveys (CSUR)
Information invariants for distributed manipulation
International Journal of Robotics Research
Robot Motion Planning
Motion Planning in Dynamic Environments
Motion Planning in Dynamic Environments
Cooperative Mobile Robotics: Antecedents and Directions
Autonomous Robots
Task Modelling in Collective Robotics
Autonomous Robots
Grounded Symbolic Communication between Heterogeneous Cooperating Robots
Autonomous Robots
Heterogeneous Teams of Modular Robots for Mapping and Exploration
Autonomous Robots
A Probabilistic Approach to Collaborative Multi-Robot Localization
Autonomous Robots
Multiagent Systems: A Survey from a Machine Learning Perspective
Autonomous Robots
Self-Repairing Mechanical Systems
Autonomous Robots
Crystalline Robots: Self-Reconfiguration with Compressible Unit Modules
Autonomous Robots
Autonomous Robots
IEEE Spectrum - Modular robots change shape to conquer tasks and tough terrain
Multi-Robot Task Allocation in Uncertain Environments
Autonomous Robots
Distributed Coordination in Heterogeneous Multi-Robot Systems
Autonomous Robots
A Paradigm for Dynamic Coordination of Multiple Robots
Autonomous Robots
Exploration path generation for multiple mobile robots using reaction-diffusion equation on a graph
Integrated Computer-Aided Engineering
A mobius automation: an application of artificial intelligence techniques
IJCAI'69 Proceedings of the 1st international joint conference on Artificial intelligence
The focussed D* algorithm for real-time replanning
IJCAI'95 Proceedings of the 14th international joint conference on Artificial intelligence - Volume 2
Situated agents can have goals
Robotics and Autonomous Systems
Human-robot interaction in rescue robotics
IEEE Transactions on Systems, Man, and Cybernetics, Part C: Applications and Reviews
Runtime adaptation in safety-critical automotive systems
SE'07 Proceedings of the 25th conference on IASTED International Multi-Conference: Software Engineering
Scheduling and routing of AMOs in an intelligent transport system
IEEE Transactions on Intelligent Transportation Systems
Dynamic priority allocation for conflict free coordinated manipulation of multiple agents
CASE'09 Proceedings of the fifth annual IEEE international conference on Automation science and engineering
Control methodology of stacker cranes for collision avoidance considering dynamics in a warehouse
ROBIO'09 Proceedings of the 2009 international conference on Robotics and biomimetics
A skill-based approach towards hybrid assembly
Advanced Engineering Informatics
Robotics and Autonomous Systems
Designing the HRTeam framework: lessons learned from a rough-and-ready human/multi-robot team
AAMAS'11 Proceedings of the 10th international conference on Advanced Agent Technology
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In the numerous existing studies dealing with multi-agent robot systems, the systems are positioned on the crossover area of robotics and distributed autonomous systems. Multi-agent robots perform many tasks, which are classified into six types according to the dimension of the goal state and the number of iterations of the tasks. This paper surveys earlier studies on multi-agent robots for each type, such as multi-robot motion-planning algorithms and exploration algorithms of multiple robots. The tasks that multi-agent robots can perform are becoming increasingly more complex as they move from single, one-time tasks to those involving many iterations. This study is an investigation of the current trends and the potentials for multi-agent robot systems.