Swift progress for robots over complex terrain
Chen Li, Feifei Qian

TL;DR
This paper demonstrates a four-legged robot that efficiently and rapidly navigates complex terrain like sand, outperforming humans in speed with low energy consumption by integrating data-driven learning with simple models.
Contribution
It introduces a novel approach combining data-driven learning and simple models to enable fast, energy-efficient robot locomotion over complex terrain.
Findings
Robot runs faster than humans on sand
Low energy consumption achieved
Few failures in terrain navigation
Abstract
A four-legged robot has learned to run on sand at faster pace than humans jog on solid ground. With low energy use and few failures, this rapid robot shows the value of combining data-driven learning with accurate yet simple models.
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