Real-time obstacle avoidance for manipulators and mobile robots
International Journal of Robotics Research
Flocks, herds and schools: A distributed behavioral model
SIGGRAPH '87 Proceedings of the 14th annual conference on Computer graphics and interactive techniques
Swarm intelligence: from natural to artificial systems
Swarm intelligence: from natural to artificial systems
Swarm intelligence
Autonomous Robots
Minimalist coherent swarming of wireless networked autonomous mobile robots
ICSAB Proceedings of the seventh international conference on simulation of adaptive behavior on From animals to animats
A Space- and Time-Continuous Model of Self-Organizing Robot Swarms for Design Support
SASO '07 Proceedings of the First International Conference on Self-Adaptive and Self-Organizing Systems
Evolutionary Swarm Robotics: Evolving Self-Organising Behaviours in Groups of Autonomous Robots (Studies in Computational Intelligence) (Studies in Computational Intelligence)
Connection Science
Get in touch: cooperative decision making based on robot-to-robot collisions
Autonomous Agents and Multi-Agent Systems
Re-embodiment of Honeybee Aggregation Behavior in an Artificial Micro-Robotic System
Adaptive Behavior - Animals, Animats, Software Agents, Robots, Adaptive Systems
A macroscopic model for self-organized aggregation in swarm robotic systems
SAB'06 Proceedings of the 2nd international conference on Swarm robotics
Aggregation behaviour as a source of collective decision in a group of cockroach-like-robots
ECAL'05 Proceedings of the 8th European conference on Advances in Artificial Life
From swarm intelligence to swarm robotics
SAB'04 Proceedings of the 2004 international conference on Swarm Robotics
Swarm robotics: from sources of inspiration to domains of application
SAB'04 Proceedings of the 2004 international conference on Swarm Robotics
The I-SWARM project: intelligent small world autonomous robots for micro-manipulation
SAB'04 Proceedings of the 2004 international conference on Swarm Robotics
BEECLUST swarm algorithm: analysis and implementation using a Markov chain model
International Journal of Innovative Computing and Applications
ASSISI: mixing animals with robots in a hybrid society
Living Machines'13 Proceedings of the Second international conference on Biomimetic and Biohybrid Systems
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By compiling macroscopic models we analyze the adaptive behavior in a swarm of autonomous robots generated by a bio-inspired, distributed control algorithm. We developed two macroscopic models by taking two different perspectives: A Stock & Flow model, which is simple to implement and fast to simulate, and a spatially resolved model based on diffusion processes. These two models were compared concerning their prediction quality and their analytical power: One model allowed easy identification of the major feedback loops governing the swarm behavior. The other model allowed analysis of the expected shapes and positions of observable robot clusters. We found a high correlation in the challenges posed by both modeling techniques and we highlighted the inherent problems of inferring emergent macroscopic rules from a microscopic description of swarm behavior.