On a continent where the tyranny of distance is a day-to-day reality, autonomous approaches underpin the operation of mining, ...

In 2025, North America held a dominan market position, capturing more than a 38.6% share, holding USD 0.64 Billion revenue.

The system integrates a multimodal fall detection framework combining inertial, proprioceptive, and acoustic sensing, along with an improved stance phase detection algorithm.KIMLAB Researchers in the ...

A quadruped robot has learned to walk across slippery, uneven terrain entirely through simulation, without any human-designed gaits or manual tuning. The system relies on deep reinforcement learning ...

Most robot headlines follow a familiar script: a machine masters one narrow trick in a controlled lab, then comes the bold promise that everything is about to change. I usually tune those stories out.

Multi-robot systems are increasingly deployed in complex, dynamic environments such as environmental monitoring, industrial automation, and search-and-rescue missions. The coordination of such systems ...

Abstract: Composite learning can guarantee the exponential stability of adaptive robot control under a condition termed interval excitation (IE) that is strictly weaker than the classical condition of ...

The Supreme Court heard oral argument today in a blockbuster pair of cases challenging President Donald Trump’s authority to impose tariffs on the $4 trillion in goods and services imported to the ...

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