What if a helper robot could sense when your brain was tired? Assistant professor Maria Kyrarini receives two major NSF ...
Artificial intelligence and machine learning are frequently applied in robot training to enhance their task execution capabilities. In this article, we will compare the specific differences between ...
There are more than 340,000 wind turbines now spinning across the world, as countries increasingly invest in renewable energy to tackle climate change. Keeping those turbines running smoothly requires ...
Meet the deeptech startups that are converging AI and robotics to tackle real-world problems across industries, from ...
Google's latest breakthrough, Gemini Robotics, is pushing the boundaries of AI-driven automation. By integrating advanced large language models (LLMs) into robotics, Gemini enables machines to ...
Intrinsic motivation, a concept drawn from behavioural science, has gained significant traction in robotic research as a means to stimulate exploratory behaviour in the absence of explicit external ...
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Autobot platform uses machine learning to rapidly find best ways to make advanced materials
A research team led by the Department of Energy's Lawrence Berkeley National Laboratory (Berkeley Lab) has built and ...
The system is designed to dismantle batteries in two phases—from battery pack to module and from module to cell level.
Explore robotics in sports, the games most suited for robots, and how younger fans are driving curiosity around new ...
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