English – The Conversation | What AI taxis and robots can learn from bees by HaDi MaBouDi, Research fellow, University of Sheffield

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The article explains how the limits of current AI‑driven technologies—illustrated by a Waymo robotaxi that crashed into a flooded lane and required a massive recall—are prompting researchers to look to bees for inspiration. Bees, despite having brains the size of a sesame seed, can rapidly learn, make accurate risk‑aware choices, multitask, and navigate long distances without maps by using visual landmarks, distance estimation, and active sensing that integrates movement with perception. Their simple neural circuits and ability to fuse vision, smell, touch, vibration and airflow allow them to operate efficiently on tiny amounts of energy, offering a blueprint for low‑power, robust autonomous systems such as drones, agricultural robots, search‑and‑rescue devices, and future AI taxis. By mimicking bees’ fast learning, flexible decision‑making, and compact navigation strategies, engineers hope to create machines that are more adaptable, energy‑efficient, and resilient in unpredictable real‑world environments.

Read more: https://theconversation.com/what-ai-taxis-and-robots-can-learn-from-bees-283089

#Waymo #BeeNav