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releasing AME2: Agile and Generalized Legged Locomotion via Attention-Based Neural Map Encoding In this work, we discuss how to achieve a combination of generalization and agility in legged locomotion, and propose a general solution.

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C. Zhang

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95,288 Aufrufe • vor 7 Monaten •via X (Twitter)

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Multi legged robots built for tough terrain! 🐛 Unlike wheeled or long-legged machines that stall in cluttered fields, their multi legged design provides stable, low-profile locomotion through confined and unstructured environments. The robots from Ground Control Robotics move close to the ground, giving direct access to crops while carrying precision sensors, from hyperspectral cameras to soil moisture and VOC (Volatile Organic Compound) detectors, without disturbing fragile gases. Applications range from agriculture to defense, search & rescue, and pest control, but the team is first targeting the multi-billion dollar specialty agriculture market, where traditional robots fail to operate effectively. Developed in collaboration with Georgia Institute of Technology. ~~ ♻️ Join the weekly robotics newsletter, and never miss any news →

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