SOURCE-LINKED INTELLIGENCE
Quantifying Mechanical Intelligence in Legged Robots with Information Theory
Mechanical intelligence, loosely defined as the reduction in control burden afforded by a robot's physical form, has become a prominent concept in robotics, with instantiations in bioinspired robotics, soft robotics, robotic swarms, and many other areas. However, rigorous theoretical understanding and quantitative measures of mechanical intelligence have lagged behind the engineering systems that the community has developed. In this work, using modern legged robots as a benchmark and exemplar, we propose several information-theoretic metrics for quantifying mechanical intelligence. By viewing
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Evidence & attribution
- arXiv · AI, language, vision and robotics · 2026-09-17T02:15:11.000Z
First collected: 2026-09-19T20:28:21.856Z. This is not the publication date.