The Press-Dispatch
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Yoder's Custom Carts Yoder's Radiator Repair Zone Fitness Center Club Participation Award Sponsored by: Tri State Trophy ta, whose lab applies princi- ples of nature to the design of structures, ranging from robots to aircraft wings. "Nature doesn't have to collect every piece of data; it filters out what it needs," he said. Many biological mechano- sensors filter data – the in- formation they receive from an environment – accord- ing to a threshold, such as changes in pressure or tem- perature. A spider's hairy mechano- sensors, for example, are lo- cated on its legs. When a spi- der's web vibrates at a fre- quency associated with prey or a mate, the mechanosen- sors detect it, generating a reflex in the spider that then reacts very quickly. The mechanosensors wouldn't detect a lower frequency, such as that of dust on the web, because it's unimport- ant to the spider's survival. The idea would be to in- tegrate similar sensors straight into the shell of an autonomous machine, such as an airplane wing or the body of a car. The research- ers demonstrated in a paper published in ACS Nano that engineered mechanosen- sors inspired by the hairs of spiders could be customized to detect predetermined forces. In real life, these forces would be associated with a certain object that an autonomous machine needs to avoid. But the sensors they de- veloped don't just sense and filter at a very fast rate – they also compute, and without needing a power supply. "There's no distinction between hardware and soft- ware in nature; it's all inter- connected," Arrieta said. "A sensor is meant to interpret data, as well as collect and filter it." In nature, once a partic- ular level of force activates the mechanoreceptors asso- ciated with the hairy mech- anosensor, these mechano- receptors compute informa- tion by switching from one state to another. Purdue researchers, in collaboration with Nanyang Technology University in Singapore and ETH Zürich, designed their sensors to do the same, and to use these on/off states to interpret sig- nals. An intelligent machine would then react according to what these sensors com- pute. These artificial mechano- sensors are capable of sens- ing, filtering and comput- ing very quickly because they are stiff, Arrieta said. The sensor material is de- signed to rapidly change shape when activated by an external force. Changing shape makes conductive particles within the materi- al move closer to each other, which then allows electrici- ty to flow through the sen- sor and carry a signal. This signal informs how the au- tonomous system should re- spond. "With the help of machine learning algorithms, we could train these sensors to function autonomously with minimum energy consump- tion," Arrieta said. "There are also no barriers to man- ufacturing these sensors to be in a variety of sizes." This work is financially supported by ETH Zürich and Purdue University, and aligns with Purdue's Giant Leaps celebration, acknowl- edging the university's glob- al advancements made in AI, algorithms and automation as part of Purdue's 150th an- niversary. This is one of the four themes of the yearlong celebration's Ideas Festival, designed to showcase Pur- due as an intellectual cen- ter solving real-world issues. Continued from page 4 SENSES