Biology

Related papers: 20

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Biology, as applied to robotics and AI, encompasses the study of living systems—from molecular and cellular mechanisms to whole-organism behavior—and translates those principles into technological innovation. In robotics, biological insights directly inspire design and function: fish locomotion informs underwater vehicles, salamander spinal cord models drive amphibious robots, and soft-bodied animals like squid and starfish inspire compliant, multi-gait robots. At the molecular scale, DNA nanotechnology enables programmable nanorobots for targeted drug delivery and cancer therapy, while microfluidic lab-on-a-chip systems accelerate drug discovery. Genomic tools such as microarrays, next-generation sequencing, and single-cell transcriptomics generate vast datasets that fuel AI-driven biological analysis. Brain-machine interfaces leverage neural recordings to enable primates—and ultimately humans—to control robotic limbs through thought alone. Biofabrication techniques like organ printing push toward synthetic tissue construction. Biology matters to robotics and AI because living systems represent billions of years of optimized engineering solutions, offering unmatched templates for building adaptive, efficient, and intelligent machines.

Top Cited Papers

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Real-time prediction of hand trajectory by ensembles of cortical neurons in primates

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