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Insecta

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An 88-milligram insect-scale autonomous crawling robot driven by a catalytic artificial muscle.

Science robotics
The creation of autonomous subgram microrobots capable of complex behaviors remains a grand challenge in robotics largely due to the lack of microactuators with high work densities and capable of using power sources with specific energies comparable ...

Wireless steerable vision for live insects and insect-scale robots.

Science robotics
Vision serves as an essential sensory input for insects but consumes substantial energy resources. The cost to support sensitive photoreceptors has led many insects to develop high visual acuity in only small retinal regions and evolve to move their ...

Automatic tracking of free-flying insects using a cable-driven robot.

Science robotics
Flying insects have evolved to develop efficient strategies to navigate in natural environments. Yet, studying them experimentally is difficult because of their small size and high speed of motion. Consequently, previous studies were limited to tethe...

Automated Taxonomic Identification of Insects with Expert-Level Accuracy Using Effective Feature Transfer from Convolutional Networks.

Systematic biology
Rapid and reliable identification of insects is important in many contexts, from the detection of disease vectors and invasive species to the sorting of material from biodiversity inventories. Because of the shortage of adequate expertise, there has ...

Polarized skylight-based heading measurements: a bio-inspired approach.

Journal of the Royal Society, Interface
Many insects such as desert ants, crickets, locusts, dung beetles, bees and monarch butterflies have been found to extract their navigation cues from the regular pattern of the linearly polarized skylight. These species are equipped with ommatidia in...

An autonomous robot inspired by insect neurophysiology pursues moving features in natural environments.

Journal of neural engineering
OBJECTIVE: Many computer vision and robotic applications require the implementation of robust and efficient target-tracking algorithms on a moving platform. However, deployment of a real-time system is challenging, even with the computational power o...

agriGO v2.0: a GO analysis toolkit for the agricultural community, 2017 update.

Nucleic acids research
The agriGO platform, which has been serving the scientific community for >10 years, specifically focuses on gene ontology (GO) enrichment analyses of plant and agricultural species. We continuously maintain and update the databases and accommodate th...