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		<title>A 130-Year-Old Math Curve Is Teaching Robot Dogs to Explore Forests Like Never Before</title>
		<link>https://bioengineer.org/a-130-year-old-math-curve-is-teaching-robot-dogs-to-explore-forests-like-never-before/</link>
		
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		<pubDate>Sat, 17 Oct 2026 13:04:16 +0000</pubDate>
				<category><![CDATA[Technology]]></category>
		<category><![CDATA[Boston Dynamics Spot]]></category>
		<category><![CDATA[coverage path planning]]></category>
		<category><![CDATA[DQN]]></category>
		<category><![CDATA[ecological monitoring]]></category>
		<category><![CDATA[Geometric]]></category>
		<category><![CDATA[Hilbert curves]]></category>
		<category><![CDATA[learning-based]]></category>
		<category><![CDATA[Multi-Robot Systems]]></category>
		<category><![CDATA[PPO]]></category>
		<category><![CDATA[priors]]></category>
		<category><![CDATA[reinforcement]]></category>
		<category><![CDATA[Reinforcement Learning]]></category>
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					<description><![CDATA[Researchers embedded Hilbert space-filling curve priors into reinforcement learning, boosting multi-robot ecological survey coverage from 0.589 to 0.895 with DQN and from 0.683 to 0.927 with PPO at sixteen robots, while field trials on two Boston Dynamics Spot robots cut mission time by 31.9 percent and redundancy by 51.6 percent.]]></description>
		
		
		
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