Swarm intelligence: from natural to artificial systems
Swarm intelligence: from natural to artificial systems
Distributed systems (3rd ed.): concepts and design
Distributed systems (3rd ed.): concepts and design
Self-Organization in Biological Systems
Self-Organization in Biological Systems
Application of multi-agent planning to the assignment problem
Computers in Industry
Re-embodiment of Honeybee Aggregation Behavior in an Artificial Micro-Robotic System
Adaptive Behavior - Animals, Animats, Software Agents, Robots, Adaptive Systems
Collective AI: context awareness via communication
IJCAI'05 Proceedings of the 19th international joint conference on Artificial intelligence
Symbiotic robot organisms: REPLICATOR and SYMBRION projects
PerMIS '08 Proceedings of the 8th Workshop on Performance Metrics for Intelligent Systems
On immune inspired homeostasis for electronic systems
ICARIS'07 Proceedings of the 6th international conference on Artificial immune systems
Symbiotic Multi-Robot Organisms: Reliability, Adaptability, Evolution
Symbiotic Multi-Robot Organisms: Reliability, Adaptability, Evolution
Adaptive collective decision-making in limited robot swarms without communication
International Journal of Robotics Research
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This paper introduces an approach that allows swarm robots to maintain their individual and collective energetic homeostasis. The on-board recharging electronics and intelligent docking stations enable the robots to perform autonomous recharging from low energy states. The procedure of collective decision-making increases collective efficiency by preventing bottlenecks at docking stations and the energetic death of low-energy robots. These hardware and behavioral mechanisms are implemented in a swarm of real microrobots, and several analogies to self-regulating biological strategies are found.