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Researchers explore how the domesticated flightless silkworm moth (Bombyx mori), a prominent insect model in olfactory research, uses wing flapping to manipulate airflow, enhancing their ability to detect distant pheromones. These findings highlight how moths guide pheromones to their odor sensors in antennae, and suggest potential applications for designing advanced robotic systems for odor source localization. This could inspire future innovations in drones and provide design guidelines for robots to locate odor sources.

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Researchers have unveiled a vision system inspired by feline eyes to enhance object detection in various lighting conditions. Featuring a unique shape and reflective surface, the system reduces glare in bright environments and boosts sensitivity in low-light scenarios. By filtering unnecessary details, this technology significantly improves the performance of single-lens cameras, representing a notable advancement in robotic vision capabilities.

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Researchers have developed and demonstrated a technique that allows them to engineer a class of materials called layered hybrid perovskites (LHPs) down to the atomic level, which dictates precisely how the materials convert electrical charge into light. The technique opens the door to engineering materials tailored for use in next-generation printed LEDs and lasers — and holds promise for engineering other materials for use in photovoltaic devices.

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