Titlebook: Swarm Intelligence; 12th International C Marco Dorigo,Thomas Stützle,Volker Strobel Conference proceedings 2020 Springer Nature Switzerland

osculate

Modeling Pathfinding for Swarm Robotics objective functions, namely to maximize the safety distance between the agents and to minimize the mean time to complete a plan. The plans are designed for various vehicle models. The presented path planning model allows us to evaluate both decentralized and centralized planners. In this paper, we

farewell

Motion Dynamics of Foragers in Honey Bee Coloniesd quickly, foragers trying to recruit nestmates via the waggle dance (dancers) must reach as many other non-dancing foragers (followers) as possible. Forager bees may have different drives that influence their motion patterns. For instance, dancer bees need to widely cover the dance floor to recruit

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Forehead-Lift

Robot Distancing: Planar Construction with Lanes of robots pushing objects into a desired two-dimensional configuration. This problem is related to object clustering and sorting as well as collective construction approaches such as wall-building. In previous work we found robots were highly susceptible to collisions among themselves and with the

Gourmet

A Blockchain-Controlled Physical Robot Swarm Communicating via an Ad-Hoc Networkg a decentralized mobile ad-hoc network. This work serves as a building block for secure real-world deployments of robot swarms. Our results show that the use of a blockchain is feasible and warranted in embodied robot swarm deployments.

Sputum

Multi-robot Coverage Using Self-organized Networks for Central Coordination of central coordination. In the coverage task, simulated ground robots coordinate with UAVs to explore an arena as uniformly as possible. Compared to strictly centralized and decentralized approaches, we test our approach in terms of coverage percentage, coverage uniformity, scalability, and fault tolerance.

Radiculopathy

0302-9743 in Barcelona Spain, in October 2020. The 20 full papers presented , together with 8 short papers and 5 extended abstracts were carefully reviewed and selected from 50 submissions...ANTS 2020 contributions are dealing with any aspect of swarm intelligence. .978-3-030-60375-5978-3-030-60376-2Series IS

UTTER

Axon895

eustachian-tube

Dynamic Response Thresholds: Heterogeneous Ranges Allow Specialization While Mitigating Convergence stuck in sink states due to the positive feedback nature of such systems. We show that heterogeneous threshold ranges result in comparable task allocation and improved stability as compared to homogeneous threshold ranges, and that simple static random thresholds should be considered in situations where agent resources are plentiful.