Eliseo Ferrante and colleagues evolved complex robot behaviors using artificial evolution and detailed robotics simulations.
Darwinian selection can be used to evolve robot controllers able to efficiently self-organize their tasks. Taking inspiration from the way in which ants organize their work and divide up tasks, researchers evolved complex robot behaviors using artificial evolution and detailed robotics simulations.
Darwinian selection can be used to evolve robot controllers able to efficiently self-organize their tasks. Taking inspiration from the way in which ants organise their work and divide up tasks, Eliseo Ferrante and colleagues evolved complex robot behaviors using artificial evolution and detailed robotics simulations.
Just like social insects such as ants, bees or termites teams of robots display a self-organized division of labor in which the different robots automatically specialized into carrying out different subtasks in the group, says new research publishing in PLOS Computational Biology.
The field of ‘swarm robotics‘ aims to use teams of small robots to explore complex environments, such as the moon or foreign planets. However, designing controllers that allow the robots to effectively organize themselves is no easy task.
The Latest on: Evolutionary robotics
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The Latest on: Evolutionary robotics
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Think Surgical has received clearance from the US Food and Drug Administration for its second-generation “active robot”. Think Surgical is an innovator in the field of orthopedic active robot ...
- THINK Surgical® Receives FDA Clearance of Second-Generation Active Roboton November 20, 2020 at 4:35 am
THINK Surgical, an innovator in the field of orthopedic active robot surgery, announced today that the Food and Drug Administration (FDA) has cleared the second-generation of the TSolution One Total ...
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