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Bee Swarm Simulator is an incremental game developed by Onett where bees follow players around. The bees help collect pollen to convert into honey [12] and attack hostile mobs. [13] The game uses quests, events and other features to hook its players into continuing to play the game.
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Swarming is a honey bee colony's natural means of reproduction.In the process of swarming, a single colony splits into two or more distinct colonies. [1]Swarming is mainly a spring phenomenon, usually within a two- or three-week period depending on the locale, but occasional swarms can happen throughout the producing season.
Swarm robotic platforms apply swarm robotics [1] in multi-robot collaboration. [2] They take inspiration from nature (e.g. collective problem solving mechanisms seen in nature such as honey bee aggregation [3] [4]). The main goal is to control a large number of robots (with limited sensing/processing ability) to accomplish a common task/problem.
Swarm is an open-source agent-based modeling simulation package, useful for simulating the interaction of agents (social or biological) and their emergent collective behavior. Swarm was initially developed at the Santa Fe Institute in the mid-1990s, and since 1999 has been maintained by the non-profit Swarm Development Group .
Fritz von Meyer is a composite being of thousand bees driven by his human intelligence. He is also technically intangible, as his body is an aggregate of tiny forms. As Swarm, he can fly through the air, assume any shape or size at will, and mentally influence other bees' actions (the full range may extend over a hundred yards in radius).
Painted wooden beehives with active honey bees A honeycomb created inside a wooden beehive. A beehive is an enclosed structure where some honey bee species of the subgenus Apis live and raise their young. Though the word beehive is used to describe the nest of any bee colony, scientific and professional literature distinguishes nest from hive.
The simulator allows for robotics programs to be conveniently written and debugged off-line with the final version of the program tested on a physical robot. This applies mainly to industrial robotic applications, since the success of off-line programming depends on how similar the physical environment of a robot is to a simulated environment.