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For robots, simulation is a great teacher for learning long-horizon (multi-step) tasks — especially compared to how long it takes to collect real-world training data.
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For robots, simulation is a great teacher for learning long-horizon (multi-step) tasks — especially compared to how long it takes to collect real-world training data.
Featured
MIT CSAIL researchers developed an AI-driven approach to “low-discrepancy sampling,” a method that improves simulation accuracy by distributing data points more uniformly across space.
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This new approach adapts to decide which robots should get the right of way at every moment, avoiding congestion and increasing throughput.
A team that included Chongzie Zhang from McKelvey Engineering developed a method that allows robots to teach other robots with different features to perform the same task.
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For robots, simulation is a great teacher for learning long-horizon (multi-step) tasks — especially compared to how long it takes to collect real-world training data.
By Xsens MVN Analyze
4 minutes read
MIT CSAIL researchers developed an AI-driven approach to “low-discrepancy sampling,” a method that improves simulation accuracy by distributing data points more uniformly across space.
A team of EPFL researchers has demonstrated the feasibility of an AI-driven method for crack detection, growth and monitoring, and will soon test it on the railway section between Zermatt and Brig in Valais Canton.
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A new method called Clio enables robots to quickly map a scene and identify the items they need to complete a given set of tasks.
Beyond 5G (5th generation and later mobile communications system: hereinafter “B5G”) / 6G (6th generation mobile communications system) is expected to be applied and spread in popularity as a new form of information communications infrastructure from the 2030s.
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To achieve greater efficiency, robots must develop more human-like skills, such as fast physical interaction. That was the focus of the I.AM project.
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The need for advanced tank monitoring and pump control solutions is growing across industries – from water treatment to aquaculture to industrial utilities. Meanwhile, smart technology is transforming tank management for a variety of liquids, ensuring a streamlined process and minimizing risks.
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To understand Industry 4.0 and Industry 3.0, we must go back to Industry 1.0, although it wasn't called that then. We learned about the Industrial Revolution in school and there was just one.
