It is always fascinating to get a glimpse into the current development of robots. On the one hand, dreamers are working on human robots. On the other hand, industrial arms and similar tools impact our lives today. #AI#robotics https://www.nature.com/articles/d41586-024-01442-5
@kdkorte personally I prefer the arms manufacturers to pour millions of dollars into building humanoid killing machines that might look cool but will never really work, than into designing a new cluster mine or loitering munitions that will remain a problem hundreds of years after being deployed
@deshipu The problem is, arms manufacturer rarely design anything by themselves. Why should they? The government normally pays for R&D and our tax money is flowing freely enough to fund both the research into humanoid killing machines, another generation of cluster bombs, and new mines.
#Books | This book explores #robotics, #IntelligentControl, and #learning advancements. It introduces a new perspective using time series prediction for robot control and provides case studies offering valuable references for #EngineersScientists and students.
#Robots#Robotics#AI#AITraining: "Roboticists believe that by using new AI techniques, they will achieve something the field has pined after for decades: more capable robots that can move freely through unfamiliar environments and tackle challenges they’ve never seen before.
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But something is slowing that rocket down: lack of access to the types of data used to train robots so they can interact more smoothly with the physical world. It’s far harder to come by than the data used to train the most advanced AI models like GPT—mostly text, images, and videos scraped off the internet. Simulation programs can help robots learn how to interact with places and objects, but the results still tend to fall prey to what’s known as the “sim-to-real gap,” or failures that arise when robots move from the simulation to the real world.
For now, we still need access to physical, real-world data to train robots. That data is relatively scarce and tends to require a lot more time, effort, and expensive equipment to collect. That scarcity is one of the main things currently holding progress in robotics back."
@ErikJonker The major difference is that by now globally human societies are hitting the limits of the planet.
Back then capitalism created prosperity for the working classes. Now capitalism will try to get rid of the working class. The wealthy think they can live without us.
@heuveltop ..it's disruptive for sure, combined with the larger divide between people working/living on income versus a small group of people living on their financial assets/paying less taxes. Also the enormous investments in AI, which can never be recoverd by regular digital services, probably count on the developments described in that blog.