An anonymous reader quotes a report from TechCrunch: The winning runner at a Beijing half-marathon for humanoid robots finished the race today in 50 minutes and 26 seconds -- significantly faster than the human world record of 57 minutes recently set by Jacob Kiplimo. [...] [T]he winning time is a massive improvement over last year's race, when the fastest robot finished in two hours and 40 minutes. The Associated Press reports that this year's winner was built by Chinese smartphone maker Honor. It seems the winning robot wasn't actually the fastest, as a different Honor robot finished in 48 minutes and 19 seconds. But that one was remote controlled -- the 50:26 robot was autonomous and won due to weighted scoring. About 40% of participating robots competed autonomously, while the remaining 60% were remote controlled, according to Beijing's E-Town tech hub. Not all of them did as well as Honor's robots, with one robot falling at the starting line and another hitting a barrier.

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Boston Dynamics has integrated Google DeepMind into its robotic dog Spot, giving it more autonomous reasoning for industrial inspections like spotting spills and reading gauges. Spot can also now recognize when to call on other AI tools. IEEE Spectrum reports: Boston Dynamics is one of the few companies to commercially deploy legged robots at any appreciable scale; there are now several thousand hard at work. Today the company is announcing that its quadruped robot Spot is now equipped with Google DeepMind's Gemini Robotics-ER 1.6, a high-level embodied reasoning model that brings usability and intelligence to complex tasks. [T]he focus of this partnership is on one of the very few applications where legged robots have proven themselves to be commercially viable: inspection. That is, wandering around industrial facilities, checking to make sure that nothing is imminently exploding. With the new AI onboard, Spot is now able to autonomously look for dangerous debris or spills, read complex gauges and sight glasses, and call on tools like vision-language-action models when it needs help understanding what's going on in the environment around it. "Advances like Gemini Robotics-ER 1.6 mark an important step toward robots that can better understand and operate in the physical world," Marco da Silva, vice president and general manager of Spot at Boston Dynamics, says in a press release. "Capabilities like instrument reading and more reliable task reasoning will enable Spot to see, understand, and react to real-world challenges completely autonomously." You can watch a demo of Spot's new capabilities on YouTube.

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