We thank Nathan Beach and Rachel Manweiler for beekeeping assistance, Hongfei Xu and Thomas J. Colgan for useful discussions regarding previously published bumble bee data, and members of the Robinson ...
Inference-based decision-making, which underlies a broad range of behavioral tasks, is typically studied using a small number of handcrafted models. We instead enumerate a complete ensemble of ...
Motion planning and Navigation of AGV/AMR:matlab implementation of Dijkstra, A*, Theta*, JPS, D*, LPA*, D* Lite, RRT, RRT*, RRT-Connect, Informed RRT*, ACO, Voronoi ...
Autonomous mobile robot encompasses modules such as perception, path planning, decision-making, and control. Among these modules, path planning serves as a prerequisite for mobile robots to accomplish ...
Majority of modern techniques for creating and optimizing the geometry of medical devices are based on a combination of computer-aided designs and the utility of the finite element method This ...
This repository implements several swarm optimization algorithms and visualizes them. Implemented algorithms: Particle Swarm Optimization (PSO), Firefly Algorithm (FA), Cuckoo Search (CS), Ant Colony ...
The computational principles underlying predictive capabilities in animals are poorly understood. Here, we wondered whether predictive models mediating prey capture could be reduced to a simple set of ...
In eusocial insect societies, such as ants and some bees and wasps, phenotypes are highly plastic, generating alternative phenotypes (queens and workers) from the same genome. The greatest plasticity ...
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