Biomimicry refers to a scientific and technological approach that draws inspiration from principles, models, and processes observed in nature to design innovative solutions to human challenges. Unlike simple imitation of form, biomimicry seeks to understand the deep functioning of biological systems to extract efficient, sustainable, and optimized strategies. This approach stands apart from conventional technologies by emphasizing energy efficiency, resilience, and harmonious integration with the environment. It relies on a rigorous methodology of observation, analysis, and transposition of natural mechanisms into technological, industrial, or organizational applications.
Use cases and examples
Biomimicry is applied in various fields: development of materials inspired by shells or insect wings, optimization of logistic networks modeled after mycelium networks, bioclimatic architecture mimicking termite mounds' ventilation, and artificial intelligence algorithms inspired by the brain or collective behaviors of ants and bees. For example, the aerodynamics of Japanese high-speed trains are inspired by the kingfisher's beak, and self-cleaning surfaces mimic the lotus leaf.
Main software tools, libraries, frameworks
In AI, frameworks such as TensorFlow and PyTorch are used to develop neural networks inspired by the brain. Evolutionary algorithms and swarm intelligence systems are developed using libraries like DEAP (Distributed Evolutionary Algorithms in Python) or MASON (Multi-Agent Simulator Of Neighborhoods). For biomimetic design and modeling, tools like Rhino/Grasshopper and the Biomimicry Toolbox are also employed.
Recent developments, evolutions, and trends
Recent trends in biomimicry include the integration of circularity and sustainability principles in industrial design, as well as the growing use of artificial intelligence to model and optimize bio-inspired solutions. Research also focuses on developing new smart and adaptive materials and simulating complex biological systems. Biomimicry is now viewed as a major driver of responsible innovation at the intersection of science, industry, and ecology.