▶️Почему роботы с Physical AI всё ещё не готовы к массовому появлению в наших домах Современные роботы-гуманоиды уже демонстрируют сложные движения и акробатику, но научить их уверенно взаимодействовать с окружающим миром по-прежнему непросто. • Что требуется от модели: определить положение предмета, рассчитать силу захвата, заметить скольжение и успеть скорректировать движение. • Главное ограничение: навыки, отработанные в одной среде, плохо переносятся в другую. Поэтому до появления универсальных домашних помощников пока далеко. • Где проверяли: в Лаборатории интеллектуальной космической робототехники Сколтеха. В выпуске подкаста «Паша AI AI AI» CEO MWS Павел Воронин и руководитель лаборатории Дмитрий Тетерюков испытали роботов и обсудили, как машины воспринимают физический мир и чему им ещё предстоит научиться. Полное видео: https://vkvideo.ru/video-226874221_456239657 @ai_machinelearning_big_data
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Telegram — AI Machine Learning Big Data
Read full article at Telegram — AI Machine Learning Big DataWhy robots with Physical AI are still not ready for a massive appearance in our homes
▶️Why robots with Physical AI are still not ready for a massive appearance in our homes Modern humanoid robots already demonstrate complex movements and acrobatics, but teaching them to confidently interact with the world around them is still not easy. • What is required from the model:…
AI Summary & Key Takeaways
- ▶️Why robots with Physical AI are still not ready for a massive appearance in our homes Modern humanoid robots already demonstrate complex movements and acrobatics, but teaching them to confidently interact with the world around them is still not easy
- • What is required from the model:…
Why robots with Physical AI are still not ready for a massive appearance in our homes
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